Refine
H-BRS Bibliography
- yes (979)
Departments, institutes and facilities
- Fachbereich Informatik (979) (remove)
Document Type
- Conference Object (571)
- Article (221)
- Preprint (50)
- Report (41)
- Part of a Book (31)
- Doctoral Thesis (20)
- Conference Proceedings (14)
- Research Data (11)
- Book (monograph, edited volume) (9)
- Master's Thesis (6)
Year of publication
Language
- English (979) (remove)
Keywords
- Virtual Reality (13)
- Robotics (12)
- Machine Learning (10)
- virtual reality (10)
- 3D user interface (7)
- Quality diversity (7)
- Augmented Reality (6)
- Robotik (6)
- Usable Security (6)
- Benchmarking (5)
- Measurement (5)
- Navigation (5)
- Virtual reality (5)
- computer vision (5)
- haptics (5)
- robotics (5)
- ARRs (4)
- Big Data Analysis (4)
- CUDA (4)
- Computer Graphics (4)
- Computer Vision (4)
- Deep Learning (4)
- FDI (4)
- GDPR (4)
- Image Processing (4)
- Knowledge Graphs (4)
- LoRa (4)
- Natural Language Processing (4)
- Perception (4)
- Quality Diversity (4)
- Risk-based Authentication (4)
- SpMV (4)
- Taxonomy (4)
- Visualization (4)
- embedded systems (4)
- machine learning (4)
- security (4)
- 802.11 (3)
- Aerodynamics (3)
- Algorithms (3)
- Augmented reality (3)
- BPMS (3)
- Bayesian optimization (3)
- Bioinformatics (3)
- Bond graph modelling (3)
- Cooperative Awareness Message (3)
- FPGA (3)
- Force field (3)
- Human-Robot Interaction (3)
- Hyperspectral image (3)
- IP protection (3)
- Intelligent Transport System (3)
- LoRaWAN (3)
- MAP-Elites (3)
- Object recognition (3)
- OpenFlow (3)
- Performance (3)
- Privacy (3)
- Pseudonym Concept (3)
- Ray Tracing (3)
- Ray tracing (3)
- Risk-based Authentication (RBA) (3)
- Robot sensing systems (3)
- Robustness (3)
- Security (3)
- Software (3)
- Surrogate Modeling (3)
- Transformers (3)
- UAV (3)
- Vehicular Ad hoc Networks (3)
- Virtuelle Realität (3)
- WiLD (3)
- clustering (3)
- foveated rendering (3)
- guidance (3)
- incremental bond graphs (3)
- motion estimation (3)
- parallel breadth-first search (3)
- post-buckling (3)
- power electronic systems (3)
- serious games (3)
- simulation (3)
- vection (3)
- virtual environments (3)
- 3D user interfaces (2)
- 3D-Scanner (2)
- AML (2)
- ARIMA (2)
- Active Learning (2)
- Adaptive Case Management (2)
- Alternatives (2)
- Artificial Intelligence (2)
- Authentication (2)
- Authentication features (2)
- Autoencoder (2)
- Automatic Short Answer Grading (2)
- B2T (2)
- BCL2 (2)
- BFS (2)
- Bag of Features (2)
- Black-Box Optimization (2)
- Blocking (2)
- Bond graphs (2)
- Business-to-Thing (2)
- Cognition (2)
- Cognitive robot control (2)
- Compositional Pattern Producing Networks (2)
- Content Module (2)
- Control Systems and Automation (2)
- Cutting sticks problem (2)
- DPA (2)
- Digitisation (2)
- Distributed rendering (2)
- Domestic Robots (2)
- Drosophila (2)
- Dynamic Case Management (2)
- EEG (2)
- Educational institutions (2)
- Electrical Machines and Power Electronics (2)
- Embedded software (2)
- Empirical study (2)
- Evolutionary Computation (2)
- Evolutionary computation (2)
- Evolutionary optimization (2)
- Explainable robotics (2)
- Eye Tracking (2)
- FOS: Computer and information sciences (2)
- Fas (2)
- Fault analysis (2)
- Fault detection and isolation (2)
- Fuzzy logic (2)
- GPU (2)
- Garbage collection (2)
- Generative Models (2)
- Graphics Cards (2)
- Grasping (2)
- HSP90 (2)
- Head-mounted Display (2)
- Heart Rate Prediction (2)
- Higher education (2)
- Human computer interaction (2)
- Human factors (2)
- Human-Centered Design (2)
- Human-Centered Robotics (2)
- Human-Computer Interaction (2)
- Humans (2)
- Hybrid systems (2)
- Hyper-parameter Tuning (2)
- IEEE 802.11 (2)
- IEEE802.11 (2)
- Incremental bond graph (2)
- Indirect Encodings (2)
- Inductive Logic Programming (2)
- Intel Xeon Phi (2)
- Intelligent controls (2)
- Intelligent virtual agents (2)
- Interaction Patterns (2)
- Internet (2)
- Internet of Things (2)
- Java virtual machine (2)
- LOTUS Sensor Node (2)
- Large, high-resolution displays (2)
- Lattice Boltzmann Method (2)
- Learning and Adaptive Systems (2)
- Learning from experience (2)
- Long-Distance WiFi (2)
- Low-Power Wide Area Network (LP-WAN) (2)
- MESD (2)
- Machine learning (2)
- Modelica (2)
- NUMA (2)
- Naive physics (2)
- Neuroevolution (2)
- Nvidia graphic processors (2)
- Object Detection (2)
- Object detection (2)
- Optimization (2)
- Original Story (2)
- Parallelization (2)
- Parameter sensitivities of transfer functions (2)
- Password (2)
- Path Loss (2)
- Perceptual Upright (2)
- QoS (2)
- RE (2)
- RGB-D (2)
- Raman microscopy (2)
- Rapid Prototyping (2)
- Reasoning (2)
- Rendering (2)
- Renewable Energy Systems (2)
- SDN (2)
- SEMA (2)
- Scale Tuning (2)
- Serious Games (2)
- Set partition problem (2)
- Side Channel Analysis (2)
- Side-channel analysis (2)
- Simulation (2)
- Single Instruction Multiple Data (SIMD) (2)
- Skin detection (2)
- Smart Card (2)
- Sparse Matrix Vector Multiplication (2)
- Sparse Matrix Vector multiply (SpMV) (2)
- Support Vector Machine (2)
- Survey (2)
- Three-dimensional displays (2)
- TinyECC 2.0 (2)
- Unity (2)
- Urban (2)
- Usability (2)
- Usable Security and Privacy (2)
- User Interface Design (2)
- VR (2)
- Vehicle-to-Vehicle Communication (2)
- Watermarking (2)
- WiFi (2)
- Wireless Sensor Network (2)
- Wireless backhaul (2)
- YAWL (2)
- adaptive fault thresholds (2)
- aerodynamics (2)
- analysis (2)
- automated sensor-screening (2)
- biometrics (2)
- blockchain (2)
- bond graph modelling (2)
- classifier combination (2)
- confidence level (2)
- convolutional neural networks (2)
- data filtering (2)
- data locality (2)
- deep learning (2)
- diagnostic bond graphs (2)
- diversity (2)
- domestic robots (2)
- dynamic vector fields (2)
- edutainment (2)
- external faults (2)
- eye-tracking (2)
- fault detection (2)
- feature (2)
- feature extraction (2)
- flight zone (2)
- geofence (2)
- human factors (2)
- hypermedia (2)
- ideal switches (2)
- image fusion (2)
- industrial robots (2)
- interaction (2)
- interface design (2)
- intrinsics (2)
- leaning (2)
- machine vision (2)
- memory bandwidth (2)
- monitoring (2)
- multisensory cues (2)
- naive physics (2)
- navigation (2)
- neural network (2)
- nonlinear stability (2)
- object categorization (2)
- object detection (2)
- optic flow (2)
- optical sensor (2)
- pansharpening (2)
- path planning (2)
- peripheral vision (2)
- physical activity (2)
- redundant work (2)
- reinforcement learning (2)
- residual sinks (2)
- robot competitions (2)
- robot dynamics (2)
- robot execution failures (2)
- robot introspection (2)
- self-motion perception (2)
- semiconducting metal oxide gas sensor array (2)
- service robots (2)
- short-term load forecasting (2)
- spatial updating (2)
- speech understanding (2)
- structural equation modeling (2)
- surrogate modeling (2)
- text mining (2)
- traffic surveillance (2)
- transfer learning (2)
- usable privacy (2)
- user study (2)
- vibration (2)
- 16S rRNA gene sequencing (1)
- 2D Level Design (1)
- 3D Segmentation (1)
- 3D User Interface (1)
- 3D design (1)
- 3D gaming (1)
- 3D interfaces (1)
- 3D navigation (1)
- 3D nucleus (1)
- 3D real-time echocardiography (1)
- 3D registration (1)
- 3D shape (1)
- 450 MHz (1)
- ABT-737 (1)
- ACPYPE (1)
- AD (1)
- AES (1)
- AI based translation (1)
- AI usage in sports (1)
- ALPS (1)
- AMBER (1)
- AMD Family 15h (1)
- ANSYS (1)
- API Documentation (1)
- API Gebrauchstauglichkeit (1)
- API usability (1)
- AR (1)
- ARM Cortex M3 Processor (1)
- Absolute nodal coordinate formulation (1)
- Abstract Syntax Tree (1)
- Acceptance (1)
- Account (Datenverarbeitung) (1)
- Account Security (1)
- Accuracy (1)
- Active locomotion (1)
- Active vision interface (1)
- Actuators (1)
- Acute lymphoblastic leukemia (1)
- Adaptation of Software (1)
- Adaptive Behavior (1)
- Adaptive Control (1)
- Advanced Driver Assistance Systems (1)
- Affordances (1)
- Agent-Based Modeling (1)
- Agents (1)
- Air Pollution (1)
- Air Pollution Monitoring (1)
- Air pollution modeling (1)
- Alkane (1)
- All-Swap Algorithm (1)
- Analysis of Bond Graph Models (1)
- Antifuse memory (1)
- Apprenticeship Learning (1)
- Architectural Patterns (1)
- Artificial Intelligence (cs.AI) (1)
- Artificial Intelligence and Natural Language Processing (1)
- Assistenzsystem (1)
- Assistive robots (1)
- Attention (1)
- Auditory Cueing (1)
- Ausbreitung (1)
- Authentifikation (1)
- Authorship watermark (1)
- Autoimmune disease (1)
- Automated Modelling (1)
- Automated design (1)
- Automation (1)
- Autonomous Driving (1)
- Autonomous Systems (1)
- Autonomy (1)
- Autotuning (1)
- Available Bandwidth (1)
- B-cell leukemia (1)
- B-cell lymphoma (1)
- BERT (1)
- BH3-mimetic inhibitor (1)
- BLOB Detection (1)
- Background music (1)
- Bacteria, Anaerobic (1)
- Ball Tracking (1)
- Ball tracking (1)
- Ballastless track (1)
- Bandwidth Estimation (1)
- Basis set (1)
- Bayesian Deep Learning (1)
- Beacon Chain (1)
- Behaviour-Driven Development (1)
- Benchmark (1)
- Best practice algorithms (1)
- Bicycle Simulator (1)
- Bildverarbeitung (1)
- Blob Detection (1)
- Block cipher (1)
- Blockchain (1)
- Bond Graph Modelling (1)
- Bond Graph modelling and simulation (1)
- Bond Graph models for fault detection and isolation (1)
- Bond graph (1)
- Bondgraph (1)
- Bound Volume Hierarchy (1)
- Bounding Box (1)
- Bounding box explanations (1)
- Branch and cut (1)
- Business Case (1)
- Business software (1)
- Business system (1)
- CAS (1)
- CEHL (1)
- CIBERSORT (1)
- CMMN (1)
- CNN (1)
- CPA (1)
- CPU (1)
- CPUID instruction (1)
- CREBBP (1)
- CSR5BC (1)
- Cache line fingerprinting (1)
- Cache-independent (1)
- Calibration (1)
- Camera selection (1)
- Camera view analysis (1)
- Canonical form of state equations and standard interconnection form for robustness study (1)
- Capability framework (1)
- Capacity (1)
- Carbohydrate (1)
- Case-Based Reasoning (1)
- Cell Processor (1)
- Cell/B.E. (1)
- Center-of-Mass (1)
- Centrifugation (1)
- Centrifuge (1)
- Cervical cancer screening (1)
- Cervicovaginal microbiome (1)
- Chalcogenide glass sensor (1)
- Challenges (1)
- Change-Prozess (1)
- Channel assignment (1)
- Chemical imaging (1)
- Chip ID (1)
- Chloroquine (1)
- Circular saws (1)
- Classification explanations (1)
- Classifiers (1)
- Cleaning Task (1)
- Climate Risks (1)
- Cloud Computing (1)
- Cloud computing (1)
- Clustering (1)
- Clusters (1)
- Co-creative processes (1)
- Co-located Collaboration (1)
- Co-located work (1)
- Co-rotational formulation (1)
- Code Generation (1)
- Code similarity analysis (1)
- Cognitive informatics (1)
- Cognitive robotics (1)
- Collaborating industrial robots (1)
- Coloured pointclouds (1)
- Colposcopy (1)
- Column (1)
- Comparative Analysis (1)
- Comparative analysis (1)
- Complex Event Processing (1)
- Complexity (1)
- Compliant Manipulation (1)
- Compliant fingers (1)
- Component Models (1)
- Composition of Patterns (1)
- Computational Fluid Dynamics (1)
- Computational causality (1)
- Computational chemistry (1)
- Computational creativity (1)
- Computational fluid dynamics (1)
- Computational modeling (1)
- Computer Automated Design (1)
- Computer Science - Computer Vision and Pattern Recognition (1)
- Computer Science - Learning (1)
- Computer Vision System (1)
- Computer architecture (1)
- Computer graphics (1)
- Computer-supported Cooperative Work (1)
- Computergrafik (1)
- Computersicherheit (1)
- Computersimulation (1)
- Computing methodologies (1)
- Concurrent Kleene Algebra (1)
- Concurrent repeated failure prognosis (1)
- Conformation (1)
- Congenital heart disease (1)
- Connectivity in rural areas (1)
- Container Structure (1)
- Containerization (1)
- Content Analysis (1)
- Content Security Policies (1)
- Contextualized Attention Metadata (CAM) (1)
- Continual robot learning (1)
- Control (1)
- Convexity (1)
- Corporate Social Responsibility (1)
- Correlative Microscopy (1)
- Cortex-M3 (1)
- Counterfeit protection (1)
- Coupled process (1)
- Covert channel (1)
- Created Gravity (1)
- Critical power (1)
- Cross-core (1)
- Cross-sensitivity (1)
- Crossmedia (1)
- Cryptography (1)
- Crystal structure (1)
- Current research information systems (1)
- Customization (1)
- CyberGlove (1)
- Cybersickness (1)
- Cypher (1)
- DAE systems (1)
- DCF (1)
- DFA Lab (1)
- DNA extraction protocols (1)
- DNA profile (1)
- DOI (1)
- DPA Lab (1)
- Data Fusion (1)
- Data Generation (1)
- Data Protection Officer (1)
- Data Publication (1)
- DataCite (1)
- Database Management Systems (1)
- Databases and Data Mining (1)
- Dataflow Programming (1)
- Datalog (1)
- Declarative Process Modeling (1)
- Deklarative Prozessmodellierung (1)
- Delph Study (1)
- Demonstration-based training (1)
- Design Optimization (1)
- Design automation (1)
- Developer Centered Security (1)
- Diagnostic bond graph-based online fault diagnosis (1)
- Diagnostic bond graphs (1)
- Difference Visualization (1)
- Differential analysis (1)
- Digital Ecosystem (1)
- Digital Object Identifier (1)
- Digital Storytelling (1)
- Digital common goods (1)
- Digital watermarking (1)
- Dimensionality reduction (1)
- Directional Antenna (1)
- Directional antennas (1)
- Discrete cosine transform (1)
- Displacement (1)
- Distance Perception (1)
- Distributed Robot Systems (1)
- Divergent optimization (1)
- Docker (1)
- Domain Expert (1)
- Domain-Specific Language (1)
- Domain-Specific Languages (1)
- Domain-Specific Modeling Languages, (1)
- Domestic robotics (1)
- Domestic robots (1)
- Domestic service robots (1)
- Drahtloses lokales Netz (1)
- Drug (1)
- Drug resistance (1)
- Dynamic motion primitives (1)
- E-Health (1)
- ELM (1)
- ELMo (1)
- EM leakage (1)
- EN-12299 (1)
- ERP (1)
- ERP-software (1)
- ERP-system (1)
- ETV6-RUNX1 (1)
- Earth Observation (1)
- Eclipse Modeling Framework (1)
- Ecosystem simulation (1)
- Edutainment (1)
- Efficiency (1)
- Ego-Motion Estimation (1)
- Elderly People (1)
- Electric mobility (1)
- Electromagnetic Fields (1)
- Electronic tongue (1)
- Elephantiasis (1)
- Elliptic Curve Cryptography (1)
- Embedded system (1)
- Emotion (1)
- Empirical Study (1)
- Empirical formula (1)
- Employee Privacy (1)
- Employee data protection (1)
- EnOcean (1)
- Encryption (1)
- Enterprise software (1)
- Enterprise system (1)
- Entropy (1)
- Environment Perception (1)
- Environmental Data (1)
- Eriodictyol (1)
- Escape analysis (1)
- Estimation (1)
- Ethereum (1)
- Euler–Bernoulli beam (1)
- Evaluation (1)
- Evaluation als Kommunikationsanlass (1)
- Event detection (1)
- Everyday object manipulation (1)
- Evolutionary algorithms (1)
- Ewing´s Sarcoma Family of Tumors (1)
- Exchange and reuse of bond graph models (1)
- Executive functions (1)
- Exercise (1)
- Exergame (1)
- Experiment (1)
- Experiment design (1)
- Expert Interviews (1)
- Expert system (1)
- Explainability (1)
- Explainable Artificial Intelligence (XAI) (1)
- Explainable Machine Learning (1)
- External faults (1)
- FGR (1)
- FPGA implementation (1)
- FS20 (1)
- Face and hand gesture recognition (1)
- Facial Emotion Recognition (1)
- Factory instrumentation (1)
- Failure Prognosis (1)
- Fault Channel Watermarking Lab (1)
- Fault Detection & Diagnosis (1)
- Fault Diagnosis (1)
- Fault accommodation (1)
- Fault diagnosis (1)
- Fault handling (1)
- Fault simulation (1)
- Fault-channel watermarks (1)
- Feature Model (1)
- Feature extraction (1)
- Features (1)
- Feedback (1)
- Female (1)
- Field Study (1)
- Field programmable gate arrays (1)
- Field sequential imaging (1)
- Filtering (1)
- Fingerprint watermark (1)
- Finite element modelling (1)
- First-order frequency domain sensitivities (1)
- Five Factor Model (1)
- Fixed spatial data (1)
- Flexible multibody system (1)
- Flexible robots (1)
- Fluency (1)
- Focus plus context (1)
- Force (1)
- Force and tactile sensing (1)
- Foreground segmentation (1)
- Forests (1)
- Formal definition and validation of the content of a model description (1)
- Forms of mathematical models (1)
- Forschungsbericht (1)
- Foveated rendering (1)
- Free-Space Loss (FSL) (1)
- Frequency planning (1)
- Friction (1)
- Functional Programming (1)
- Functional safety (1)
- Fusion (1)
- Future (1)
- Future Studies (1)
- Future of Robotics (1)
- GDDL (1)
- GLI (1)
- GPGPU (1)
- GPT (1)
- GPT-2 (1)
- Gabor filter (1)
- Gabor filters (1)
- Game Engine (1)
- Games (1)
- Games and Simulations for Learning (1)
- Gaussian processes (1)
- Gaze Behavior (1)
- Gaze Depth Estimation (1)
- Gaze-contingent depth-of-field (1)
- Gender Issues in Computer Science Education (1)
- Generation R (1)
- Generative Design (1)
- Genetic Predisposition to Disease (1)
- Genetic algorithm (1)
- Genomics (1)
- Genomics/methods (1)
- Geo-tagging (1)
- Gesamt-Exom-Sequenzierung (1)
- Gesture Recognition (1)
- Gesture-based HRI (1)
- Givens Rotations (1)
- Global Illumination (1)
- Global illumination (1)
- Glycam06 (1)
- Gradient-based explanation methods (1)
- Gradient-boosting (1)
- Grailog (1)
- Graph Convolutional Neural Networks (1)
- Graph embeddings (1)
- Graph theory (1)
- Graphical user interfaces (1)
- Grasp Domain Definition Language (1)
- Grasp Planner (1)
- Gravitation (1)
- Gromacs (1)
- Grounded Method (1)
- Group Behavior (1)
- Group behavior (1)
- Group behavior analysis (1)
- Groupware (1)
- HCI (1)
- HCSS (1)
- HDAC inhibitor (1)
- HDBR (1)
- HIF1α (1)
- HPC (1)
- HPV diagnostic (1)
- HRI (1)
- HSP70 (1)
- HTTP (1)
- Hand Guidance (1)
- Hand Tracking (1)
- Hand injuries (1)
- Hardware (1)
- Head Mounted Display (1)
- Head-Mounted Displays (1)
- Header whitelisting (1)
- Healthcare logistics (1)
- Heat Shock Protein (1)
- Heat shrink tubing (1)
- High hyperdiploidy (1)
- High-performance computing (1)
- High-resolution displays (1)
- High-speed railway track (1)
- High-speed track (1)
- Highly Automated Driving (1)
- Histograms (1)
- HomeMatic (1)
- Hough Forests (1)
- Human Factors (1)
- Human centered computing (1)
- Human orientation perception (1)
- Human robot interaction (1)
- Human-robot interaction (1)
- Humanoid Robot (1)
- Hybrid Failure Prognosis (1)
- Hybrid Systems (1)
- Hybrid models (1)
- Hybrid models of engineering systems (1)
- Hydraulic orifices (1)
- Hydrocarbon (1)
- Hydroxychloroquine (1)
- HyperNEAT (1)
- IC identification (1)
- ICF (1)
- ICP (1)
- IEC 104 (1)
- IEC 61850 (1)
- IEEE 802.21 (1)
- ISO9999 (1)
- IT professionals (1)
- IaaS (1)
- Ikaros (1)
- Illumination algorithms (1)
- Image Classification (1)
- Image representation (1)
- Image-based rendering (1)
- Immersion (1)
- Immersive Virtual Environments (1)
- Immersive Visualization Environment (1)
- Immersive analytics (1)
- Implementation Challenges (1)
- Increasing fault magnitude (1)
- Incremental true bond graphs (1)
- Industrial robots (1)
- Industry 4.0 (1)
- Information Privacy (1)
- Information Security (1)
- Information Types (1)
- Information hiding (1)
- Information interaction (1)
- Informationsflüsse (1)
- Innovation (1)
- Input reconstruction (1)
- Instance-based learning (1)
- Instantaneous assignment (1)
- Instantiation (1)
- Instruction design (1)
- Instruction scheduling (1)
- Integer programming (1)
- Integral backstepping technique (1)
- Integrate Development Environment (1)
- Integrated circuit interconnections (1)
- Intel processors (1)
- Intelligent Autonomous Systems (1)
- Interaction (1)
- Interaction devices (1)
- Interactive Object Detection (1)
- Interactive Smart Card Applications (1)
- Interaktion (1)
- Interbank Market (1)
- Interference (1)
- Interferenz (1)
- Intermediaries (1)
- Intermittent faults (1)
- Interoperability (1)
- Inventory (1)
- Inverse simulation (1)
- IoT (1)
- Issue Tracking Systems (1)
- Issue Types (1)
- Issue tracking systems (1)
- JavaScript (1)
- KNN (1)
- KNX (1)
- Knowledge Management (1)
- Knowledge Worker (1)
- Knowledge representation (1)
- Knowledge-intensive Process (1)
- LAA (1)
- LBP (1)
- LDP (1)
- LGCSR (1)
- LSTM (1)
- LTE-M (1)
- LTE-U (1)
- Laminar and turbulent flow (1)
- Language Engineering (1)
- Language learning (1)
- Large display interaction (1)
- Large high-resolution displays (1)
- Large-Scale Online Services (1)
- Lattice Basis Reduction (1)
- Laws of programming (1)
- Lead userness (1)
- Leakage circuits (1)
- Learning analytics (1)
- Learning data mining (1)
- Learning from demonstration (1)
- Learning systems (1)
- Leg (1)
- Lennard-Jones parameters (1)
- Leukemia (1)
- Level-of-Detail (1)
- Library model (1)
- Ligands (1)
- Light curtain (1)
- Lighting simulation (1)
- Linear inverse models (1)
- Linear quadratic regulator (1)
- Linear regression (1)
- Liquidity Crises (1)
- LoRa receiver accuracy (1)
- Locomotion (1)
- Login (1)
- Long-Term Autonomy (1)
- Longley-Rice (1)
- Longley-Rice Irregular Terrain Model (ITM) (1)
- Lymphedema (1)
- Lymphoproliferative disorder (1)
- MAC (1)
- MACE (1)
- MBZ (1)
- METEOR score (1)
- MIMD (1)
- MOOC (1)
- MOX gas sensors (1)
- MP2.5 (1)
- MPLS (1)
- MQTT (1)
- Machine Learning (cs.LG) (1)
- Machine-learning (1)
- Main Memory (1)
- Maker space (1)
- Male (1)
- Malware (1)
- Management (1)
- Manipulation tasks (1)
- Manipulator (1)
- Markov Cluster Algorithm (1)
- Mathematical methods (1)
- Maximal covering location problem (1)
- Mebendazole (1)
- Media in education (1)
- Megatrends (1)
- Memory (1)
- Memory filesystem (1)
- Memory management (1)
- Memory-Constrained Devices (1)
- Mesh networks (1)
- Meteorological Data (1)
- Methodologies (1)
- Microarchitectural Data Sampling (MDS) (1)
- Microgravity (1)
- Middleware and Programming Environments (1)
- Mining Software Repositories (1)
- Mining software repositories (1)
- Mixed (1)
- Mixed method evaluation (1)
- Mobile devices (1)
- Mobile manipulation (1)
- Mobile robotics (1)
- Mobile robots (1)
- Mobiler Roboter (1)
- Modalities (1)
- Mode switching LTI model (1)
- Mode-dependent ARRs (1)
- Model Fitting (1)
- Model-Based Software Development (1)
- Model-Driven Engineering (1)
- Model-based Approach (1)
- Model-based Fault Diagnosis (1)
- Model-based failure prognosis (1)
- Model-based fault detection and isolation (1)
- Model-driven Development (1)
- Model-driven engineering (1)
- Model-free control (1)
- Modelling (1)
- Models of Variable Structure (1)
- Modular software packages (1)
- Molecular dynamics (1)
- Molecular modeling (1)
- Molecular rotation (1)
- Molecular structure (1)
- Morphological box (1)
- Morphological scheme (1)
- Motion (1)
- Motion Capture (1)
- Motion Sickness (1)
- Motion planning (1)
- Multi-Modal Interaction (1)
- Multi-Solution Optimization (1)
- Multi-Tenant Application (1)
- Multi-camera (1)
- Multi-component heavy metal solution (1)
- Multi-object visualization (1)
- Multi-objective (1)
- Multi-objective optimization (1)
- Multi-robot systems (1)
- Multi-stage (1)
- Multibody systems (1)
- Multicast communication (1)
- Multidisciplinary systems (1)
- Multidisciplinary Dynamic Systems (1)
- Multilayer interaction (1)
- Multimodal (1)
- Multimodal Microspectroscopy (1)
- Multimodal hyperspectral data (1)
- Multimodal optimization (1)
- Multiple Displays (1)
- Multisensory cues (1)
- Multithreaded and multicore architecture (1)
- Multiuser (1)
- Multivariate Time Series (1)
- Multivariate time series classification (1)
- Musical Performance (1)
- N200 (1)
- NEAT (1)
- NETCONF (1)
- NFKB (1)
- NGS (1)
- NIR (1)
- NIR-point sensor (1)
- NISTPQC (1)
- NLP (1)
- NNS (1)
- NURBS (1)
- NVIDIA Tesla (1)
- Narration Module (1)
- Natural language understanding (1)
- Natural scene text (1)
- Navigation interface (1)
- Network simulation verification (1)
- Networked Robots (1)
- Neural Machine Translation (1)
- Neuroscience (1)
- Noise (1)
- Noise reduction (1)
- Nonbonded scaling factor (1)
- Nonlinear control quadrotor uav (1)
- Numerical optimization (1)
- OCT (1)
- OCU (1)
- OER (1)
- Object Segmentation (1)
- Object detectors (1)
- Object-Based Image Analysis (OBIA) (1)
- Object-oriented physical systems modelling (1)
- Older adults (1)
- Online Services (1)
- Ontology (1)
- Open Access (1)
- Open innovation (1)
- Open source firmware (1)
- Open source software (1)
- Open-ended Robotic Discovery (1)
- Open-source (1)
- OpenACC (1)
- OpenDaylight (1)
- OpenMP (1)
- OpenMP, unrolling (1)
- OpenStack (1)
- Optical Flow (1)
- Optical flow (1)
- Optimisation 3D (1)
- Organic compounds and Functional groups (1)
- Out Of Distribution (OOD) data (1)
- Out-of-view Objects (1)
- Outer Space Research (1)
- Outlier Detection (1)
- Outside-in process (1)
- P300 (1)
- PAD (1)
- PAIS (1)
- PCR inhibitors (1)
- PDSTSP (1)
- PHR (1)
- PIR sensor units (1)
- PM2.5 estimation (1)
- PSD (1)
- PaaS (1)
- Pain Reduction (1)
- Parallel I/O (1)
- Parallel Processing (1)
- Parallel drone scheduling traveling salesman problem (1)
- Parameter degradation model (1)
- Parameter sensitivities of the residuals of analytical redundancy relations (1)
- Parameter uncertainties (1)
- Parametric study (1)
- Part Segmentation (1)
- Passwort (1)
- Path loss model (1)
- Pattern recognition (1)
- Pedigree (1)
- People Detection (1)
- Performance Simulation (1)
- Performance benchmarks (1)
- Performance prediction (1)
- Performance profiling (1)
- Periodic structures (1)
- Personal Health Record (1)
- Personality (1)
- Phenotypic niching (1)
- Physical activity (1)
- Physical exercising game platform (1)
- Plan-based robot control (1)
- Point Cloud Segmentation (1)
- Point Clouds (1)
- Pointing (1)
- Pointing Gesture Detection (1)
- Pointing Gesture Recognition (1)
- Pointing devices (1)
- Poisson Disc Distribution (1)
- Polymorphism, Single Nucleotide (1)
- Pose Estimation (1)
- Post-Quantum Signatures (1)
- Power Analysis (1)
- Precursor B-Cell Lymphoblastic Leukemia-Lymphoma/genetics (1)
- Prediction of physiological responses to strain (1)
- Predictive Models (1)
- Presence (1)
- Pressure wire (1)
- Pressure-volume relation (1)
- Privacy engineering (1)
- Privacy patterns (1)
- Probabilistic model (1)
- Process Automation (1)
- Process Models (1)
- Process views (1)
- Project based learning (1)
- Pronunciation (1)
- Proof of Stake (1)
- Proof-of-Stake (1)
- Proof-of-Work (1)
- Propagation (1)
- Protective system (1)
- Prototypes (1)
- Proximity (1)
- Prozessautomation (1)
- Prudential Regulation (1)
- Psychology (1)
- Public Key Infrastructure (1)
- Public Key Infrastructures (1)
- Q measurement (1)
- Qualitative reasoning (1)
- Quality control (1)
- Quality of Service (1)
- Qualitätspakt Lehre (1)
- Quantitative analysis of explanations (1)
- Quantum mechanical methods (1)
- Quantum mechanics (1)
- RAS (1)
- RBAR (1)
- RFID (1)
- RGB-D data (1)
- RLE-XOR (1)
- RLE-permutation (1)
- RMS acceleration (1)
- RNN (1)
- ROPOD (1)
- RSSI (1)
- Radiance caching (1)
- Radiofrequency identification (1)
- Radix Sort (1)
- Raman spectroscopy (1)
- Random number generator (1)
- Rapid prototyping (1)
- Raumwahrnehmung (1)
- Re-authentication (1)
- Reader (1)
- Real-Time Image Processing (1)
- Real-time image processing (1)
- Recommender systems (1)
- Reconstruction Error (1)
- Refinement (1)
- Reflectance modeling (1)
- Registration Refinement (1)
- Relapse (1)
- Relational Learning (1)
- Relative Energies (1)
- Remaining Useful Life (1)
- Remaining Useful Life (RUL) estimates (1)
- Render Cache (1)
- Repositories (1)
- Requirements (1)
- Requirements Communication (1)
- Requirements Engineering (1)
- Requirements analysis (1)
- Requirements engineering in SMEs (1)
- Restorative Virtual Environments (1)
- Reusable Software (1)
- Reversible Logic Synthesis (1)
- Review (1)
- Right to Informational Self-Determination (1)
- Risk-Based Account Recovery (1)
- RoboCup (1)
- RoboCup industrial (1)
- Robot Perception (1)
- Robot commands (1)
- Robot competitions (1)
- Robot failure diagnosis (1)
- Robot kinematics (1)
- Robot learning (1)
- Robot software (1)
- Robotic Governance (1)
- Robotic Natives (1)
- Robotic Revolutions (1)
- Robotic Technology (1)
- Robotic faults (1)
- Robotics (cs.RO) (1)
- Robotics competitions (1)
- Robots (1)
- Robust grasping (1)
- Rotating Table Test (1)
- Rule-based production systems (1)
- RuleML (1)
- Runtime Adaptation (1)
- Rural areas (1)
- S3D Video (1)
- S3D video (1)
- SAHA (1)
- SAML (1)
- SARS-CoV-2 (1)
- SDWN (1)
- SIMD (1)
- SIMPACK (1)
- SLIDE algorithm (1)
- SME (1)
- SMPA loop (1)
- SOA (1)
- SOAP (1)
- SORT (1)
- SQL (1)
- STAT3 (1)
- SVG (1)
- SVM (1)
- SaaS (1)
- Saccades (1)
- Saccadic suppression (1)
- Safety (1)
- Safety guard (1)
- Saliency maps (1)
- Sanity checks for explaining detectors (1)
- Scalability (1)
- Scalable Vector Graphic (1)
- ScalarMultiplication (1)
- Scene text recognition, active vision, domestic robot, pantilt, auto-zoom, auto-focus, adaptive aperture control (1)
- Scene understanding through Deep Learning (1)
- Scholarly workbench (1)
- School experiments (1)
- Scientific competency development (1)
- Scientific workbench (1)
- Second Life (1)
- Secure Coding Practices (1)
- Segmentation (1)
- Self-motion perception (1)
- Self-supervised learning (1)
- Semantic Segmentation (1)
- Semantic gap (1)
- Semantic models (1)
- Semantic scene understanding (1)
- Semantic search (1)
- Semantics (1)
- Sense of presence (1)
- Sensitivity matrix in symbolic form (1)
- SensorFusion (1)
- Separation algorithm (1)
- Service Robot (1)
- Service-Oriented Architecture (1)
- Service-based cloud computing (1)
- Shadow detection (1)
- Sicherheits-APIs (1)
- Side Channel Countermeasures (1)
- Side Channel Watermarking Lab (1)
- Side channel attack (1)
- Side channels (1)
- Side-channel watermarking (1)
- Signal (1)
- Signal detection (1)
- Signal processing (1)
- Signature Verification (1)
- Silmitasertib (1)
- Similarity matrix (1)
- Simulator (1)
- Single-objective (1)
- Skin (1)
- Slippage detection (1)
- Smart Card User Interface Design, Interactive Smart Card Applications (1)
- Smart Grid (1)
- Smart Home (1)
- Smart InGaAs camera-system (1)
- Smart factory (1)
- Smartphone (1)
- Smartphones (1)
- Social Virtual Reality (1)
- Social engagement in university (1)
- Social intelligence (1)
- Sociomateriality (1)
- Software Architecture (1)
- Software Architectures (1)
- Software Development Process (1)
- Software Feature Request Detection (1)
- Software Framework (1)
- Software IP protection (1)
- Software Supply Chain (1)
- Software and Architecture (1)
- Software reverse engineering (1)
- Softwareentwicklung (1)
- Somatogravic Illusion (1)
- Sonar (1)
- Space exploration (1)
- Sparse matrix format (1)
- Spatio-Temporal (1)
- Spatiotemporality (1)
- Spectral Analysis (1)
- Spectral Clustering (1)
- Spectroscopy (1)
- Spectrum occupancy (1)
- Spectrum optimization (1)
- Speech Act Theory (1)
- Spherical Treadmill (1)
- Spherical treadmill (1)
- Split Axis (1)
- Standards (1)
- Star Trek (1)
- State machines (1)
- Stereoscopic Rendering (1)
- Stereoscopic rendering (1)
- Story Element (1)
- Stream cipher (1)
- Streaming (1)
- Stress Management (1)
- Supervised classification (1)
- Supervised learning (1)
- Supply chains (1)
- Surrogate Modelling (1)
- Surrogate models (1)
- Surrogate-assistance (1)
- Swim Stroke Analysis (1)
- Switched power electronic systems (1)
- Symmetry detector (1)
- Synthetic perception (1)
- System health monitoring (1)
- SystemVerilog (1)
- TEL-AML1 (1)
- TLS (1)
- TP53 (1)
- Tactile Feedback (1)
- Tactile feedback (1)
- Tag (1)
- Task Frame Formalism (1)
- Task allocation (1)
- Tautomers (1)
- Teaching Quality Pact (1)
- Telecommunication network reliability (1)
- Telecommunication network routing (1)
- Teleconferencing system (1)
- Template Attacks (1)
- Temporal constraints (1)
- Temporally-weighted (1)
- Terrain rendering (1)
- Testing (1)
- Text detection (1)
- Text recognition (1)
- Textureless objects (1)
- Therapy (1)
- Throughput (1)
- Tiled displays (1)
- Tiled-display walls (1)
- Time extended assignment (1)
- Time measurement (1)
- Timing analysis (1)
- Timing channel (1)
- ToF Camera (1)
- Token (1)
- Touchscreen interaction (1)
- Touchscreens (1)
- Toyota HSR (1)
- Trace algebra (1)
- Traceability (1)
- Tracking (1)
- Tracking by detection (1)
- Traffic Simulations (1)
- Traffic sign detection (1)
- Traffic sign recognition (1)
- Training Model (1)
- Training Optimization (1)
- Transfer Learning (1)
- Transfer learning (1)
- Transformations between various description formats (1)
- Transforms (1)
- Translocation (1)
- Transparency (1)
- Transponder (1)
- Travel Techniques (1)
- Treatment of discontinuities and singularities in ordinary differential equations (1)
- Tree Stumps (1)
- Two-Ray (1)
- Two-factor Authentication (1)
- U-NII band (1)
- UAV teleoperation (1)
- UGV (1)
- UI design (1)
- USAR (1)
- Ultrasonic array (1)
- Uncertainty (1)
- Uncertainty Estimation (1)
- Uncertainty Quantification (1)
- Underwater (1)
- Unidirectional thermoplastic composites (1)
- Unifying theories (1)
- Unknown parameter degradation (1)
- Unmanned Aerial Vehicle (UAV) (1)
- User Roles (1)
- User Study (1)
- User engagement (1)
- User experience design (1)
- User interface (1)
- User interfaces (1)
- User-Centered Approach (1)
- User-Centered Design (1)
- User-Computer Interface (1)
- User-centered privacy engineering (1)
- VR system design (1)
- VR-based systems (1)
- Vacuum Cleaner (1)
- Valproic acid (1)
- Variability Management (1)
- Variability Resolution (1)
- Variational Autoencoder (1)
- Vector Intrinsics (1)
- Vector Units (1)
- Vehicle-2-Vehicle Communication (1)
- Vehicle-to- Vehicle Communication (V2V) (1)
- Vehicle-to-Infrastructure Communication (1)
- Vehicle-to-Infrastructure Communication (V2I) (1)
- Vehicle-to-Vehicle Com- munication (1)
- Vehicular Ad hoc Networks (VANETs) (1)
- Verilog (1)
- Vibrational microspectroscopy (1)
- Video surveillance (1)
- View selection (1)
- Virtual Agents (1)
- Virtual Environment (1)
- Virtual Environments (1)
- Virtual Memory Palace (1)
- Virtual attention (1)
- Virtual environments (1)
- Visual Cueing (1)
- Visual Discrimination (1)
- Visual perception (1)
- Visualization design and evaluation methods (1)
- Visualization systems and tools (1)
- Visuelle Wahrnehmung (1)
- Vulnerable Groups (1)
- V˙CO2 prediction (1)
- V˙O2 prediction (1)
- WDS (1)
- WWW (1)
- Wang-tiles (1)
- Web (1)
- Web components (1)
- WfMS (1)
- Whole body motion (1)
- Wi-Fi (1)
- WiAFirm (1)
- WiFi-based Long Distance (WiLD) (1)
- WiFi-based Long Distance networks (1)
- Wireless Backhaul Network (1)
- Wissensarbeit (1)
- Wissensintensive Geschäftsprozesse (1)
- Workflow (1)
- Workflow Management (1)
- XGBoost (1)
- XML (1)
- XML Signature (1)
- XML Signature Wrapping (1)
- XML schema for bond graph models (1)
- XNA Game Studio (1)
- XSLT (1)
- Xeon Phi knights landing (1)
- YANG (1)
- YOLO (1)
- Young adults (1)
- ZWave (1)
- ZigBee (1)
- ZombieLoad (1)
- accelerometer (1)
- activation function (1)
- acute (1)
- adaptive agents (1)
- adaptive binarization (1)
- adaptive filters (1)
- adaptive trigger (1)
- affective computing (1)
- allopurinol (1)
- ambulatory monitoring (1)
- analog/digital signal processing (1)
- analyses (1)
- analytical redundancy relation residuals (1)
- analytical redundancy relations (1)
- anomaly detection (1)
- antibody deficiency (1)
- apoptosis (1)
- architectural distortion (1)
- artifacts (1)
- asset transfer (1)
- assistive robotics (1)
- assistive robots (1)
- atomic instructions (1)
- atomic operation (1)
- audio-tactile feedback (1)
- augmented, and virtual realities (1)
- authentication (1)
- authoring tools (1)
- autoimmune lymphoproliferative syndrome (1)
- autoinflammatory disease (1)
- automated 3D scanning (1)
- automatic measurement validation (1)
- automatic music generation (1)
- automation (1)
- automation of sample processing (1)
- autonomous driving (1)
- averaged bond graph models (1)
- back-of-device interaction (1)
- background motion (1)
- bagging (1)
- bass-shaker (1)
- benchmarking (1)
- bicausal diagnostic Bond Graphs (1)
- bicycle (1)
- binary classification (1)
- bioinformatics (1)
- biorder (1)
- bloat (1)
- body-centric cues (1)
- bond graph (1)
- bond graphs (1)
- bond-graph-based physical systems modelling (1)
- bootstrapping (1)
- brain computer interfaces (1)
- breast cancer (1)
- brightfield microscopy (1)
- building automation (1)
- built environment (1)
- bus load (1)
- caching (1)
- camera (1)
- camera-based person detection (1)
- can bus (1)
- cancer (1)
- cellular automata (1)
- change process (1)
- chemical sensors (1)
- childhood (1)
- childhood cancer syndrome (1)
- client-side component model (1)
- closed kinematic chain (1)
- co-located collaboration (1)
- cognitive radio (1)
- collaboration (1)
- collaborative learning (1)
- collision (1)
- colorimetry (1)
- commuting (1)
- compensation (1)
- complete basis set limit (1)
- component analyses (1)
- component based (1)
- computational causalities (1)
- computational logic (1)
- computer games (1)
- computer-supported collaborative work (1)
- concrete plate (1)
- conformations (1)
- constitutional mismatch repair syndrome (1)
- constraint relaxation (1)
- constructive process deviance (1)
- control (1)
- control architectures (1)
- controller design (1)
- convex optimization (1)
- cooperative path planning (1)
- correlation (1)
- crawling (1)
- cross-disciplinary (1)
- cryptanalytic attacks (1)
- cryptocurrency (1)
- cuSPARSE (1)
- curved shell (1)
- cyanide (1)
- cybersickness (1)
- data analysis (1)
- data glove (1)
- data logging (1)
- data visualisation (1)
- database (1)
- database systems (1)
- decision tree learning (1)
- degraded DNA (1)
- denial-of-service (1)
- dependable robots (1)
- depth perception (1)
- design process (1)
- designing air flow (1)
- detection (1)
- developer centered security (1)
- differential algebraic equation systems (1)
- digital co-creation (1)
- digital platform ecosystem (1)
- digital storytelling (1)
- dimensionality reduction (1)
- direct feedback (1)
- directed hypergraphs (1)
- directional antennas (1)
- disabled people (1)
- displacement measurement (1)
- distance perception (1)
- distributed authoring (1)
- distributed processing (1)
- domain adaptation (1)
- driving (1)
- drone video quality (1)
- drugs (1)
- dynamics (1)
- e-Research (1)
- e-learning course structure (1)
- eavesdropping (1)
- echo state network (1)
- eco-driving (1)
- electrochemical sensor (1)
- elite sports (1)
- embedded collaborative learning (1)
- embodied interfaces (1)
- emotion computing (1)
- employee privacy (1)
- energy (1)
- energy efficient transportation (1)
- energy optimal driving (1)
- energy saving (1)
- entwicklerzentrierte Sicherheit (1)
- erbliche Krebssyndrome (1)
- estimation (1)
- evaluation as a mean to communication (1)
- evolution strategies (1)
- evolutionary illumination (1)
- evolved neural network controller (1)
- evolving look ahead controllers (1)
- execution (1)
- explainable AI (1)
- explainable gesture recognition (1)
- exploration (1)
- extraction-linked bias (1)
- extreme learning machine (1)
- eye movement (1)
- eye tracking (1)
- facial expression recognition (1)
- factor analysis (1)
- failure prognostic (1)
- fault indicators (1)
- fault scenarios (1)
- fault handling (1)
- faults in robotics (1)
- feature discovery (1)
- feature selection (1)
- felt obligations (1)
- fiducial marker (1)
- fingerprint (1)
- finite element method (1)
- fitness-fatigue model (1)
- fixed causalities generation of analytical redundancy relations (1)
- flying (1)
- force field (1)
- force sensing (1)
- forensic (1)
- forms of mathematical models (1)
- fpga (1)
- frequency (1)
- fuel (1)
- full-body interface (1)
- fuzzy logic (1)
- game engine (1)
- gamification (1)
- gaming (1)
- gaze (1)
- general plate theory (1)
- generation of ARRs (1)
- generative design (1)
- genes (1)
- genetic neutrality (1)
- genetic testing (1)
- genetics (1)
- genetische Testung (1)
- global illumination (1)
- graphene oxide powder (1)
- graphene oxide powders (1)
- graphs (1)
- grasp motions (1)
- grasping (1)
- gravito-inertial force (1)
- hand guidance (1)
- haptic feedback (1)
- haptic interfaces (1)
- head down bed rest (1)
- heart rate control (1)
- heart rate modeling (1)
- heart rate prediction (1)
- heat shrink tubes (1)
- heavy metal (1)
- heterogeneous networks (1)
- heuristics (1)
- hierarchical clustering (1)
- high degree of diagnostic coverage and reliability (1)
- high diagnostic coverage and reliability (1)
- high dynamic range resistance readout (1)
- high speed railway vehicle (1)
- high-throughput DNA sequencing (1)
- high-throughput sequencing (1)
- higher education (1)
- holography (1)
- hospital environment (1)
- hospital-acquired infections (1)
- human computer interaction (1)
- human microbiome (1)
- human-centred design (1)
- human-centric lighting (1)
- human-robot collaboration (1)
- hybrid dynamics solver (1)
- hybrid robot skill representation (1)
- hybrid system (1)
- hybrid system models (1)
- hydrocarbon (1)
- hypermedia applications (1)
- iOER (1)
- ideation (1)
- image captioning (1)
- image sequence processing (1)
- immersion (1)
- immersive systems (1)
- immunodeficiency (1)
- indicators calculation (1)
- information display methods (1)
- information flows (1)
- informational self-determination (1)
- infrared pattern (1)
- innovative work behavior (1)
- instance segmentation (1)
- intelligent pedestrian counter (1)
- interaction techniques (1)
- interactive computer graphics (1)
- interactive distributed rendering (1)
- intercultural learning (1)
- interference (1)
- international (1)
- international teams (1)
- intervention mechanisms (1)
- inverse model (1)
- ion-selective electrodes (1)
- irregularity amplitude (1)
- isolation (1)
- issue tracker (1)
- knowledge engineering (1)
- knowledge graphs (1)
- knowledge-management (1)
- large-high-resolution displays (1)
- latent class analysis (1)
- leaning, self-motion perception (1)
- leaning-based interfaces (1)
- learning object repositories (1)
- learning traces (1)
- learning-based fault detection and diagnosis (1)
- leukemia (1)
- light curtains (1)
- linguistic variable (1)
- linguistic variables (1)
- link calibration (1)
- lipid (1)
- load control (1)
- local optimization (1)
- locomotion (1)
- locomotion interface (1)
- long short-term memory (1)
- long-distance 802.11 (1)
- long-distance modeling (1)
- low-cost air sensor (1)
- lymphocytic (1)
- manipulation (1)
- massive parallel sequencing (1)
- mathematical modeling (1)
- measurement (1)
- mebendazole (1)
- mechatronic systems (1)
- medical training (1)
- mental models (1)
- mesoscopic agents (1)
- micro-benchmarks (1)
- microbial community structure (1)
- microbial ecology (1)
- microbiome (1)
- microbiome analyses (1)
- microcomputers (1)
- microcontroller (1)
- mininig software repositories (1)
- mixed reality (1)
- mobile applications (1)
- mobile manipulators (1)
- mobile or handheld device (1)
- mobile projection (1)
- mobile robots (1)
- mobile web (1)
- mobility assistance system (1)
- modal superposition (1)
- mode switching LTI models (1)
- mode-dependent implicit state space model (1)
- mode-switching linear time-invariant models (1)
- model exchange (1)
- modeling (1)
- modelling methodology (1)
- modular web (1)
- momentary frequency (1)
- mood (1)
- morphological operator (1)
- motion capture (1)
- motion control (1)
- motion cueing (1)
- motion platform (1)
- motion sickness (1)
- motion trajectory enhancement (1)
- mp2 (1)
- multi causal strain (1)
- multi robot systems (1)
- multi-channel power sourcing (1)
- multi-layer display (1)
- multi-objective optimization (1)
- multi-screen visualization environments (1)
- multi-solution optimization (1)
- multi-user VR (1)
- multibody system (1)
- multibody systems (1)
- multibond graphs (1)
- multidisciplinary (1)
- multimodal optimization (1)
- multiple Xbox 360 (1)
- multiple computer systems (1)
- multiresolution analysis (1)
- multiscale parameterization (1)
- multisensory (1)
- multisensory interface (1)
- music analysis (1)
- mutation (1)
- nano-composite (1)
- natural language processing (1)
- natural user interface (1)
- navigational search (1)
- near infrared (1)
- near-infrared (1)
- neural networks (1)
- neuro-cognitive performance (1)
- neuroevolution (1)
- neutral buoyancy (1)
- next generation sequencing (1)
- noise suppression (1)
- nomadic text entry (1)
- non-linear projection (1)
- nonlinear storytelling (1)
- numerical computation of residuals (1)
- object identification (1)
- object-oriented modelling (1)
- object-oriented physical systems modelling (1)
- objective function (1)
- octane (1)
- open educational resources (OERs) (1)
- operation mode independent causalities (1)
- optical character recognition (1)
- optical coherence tomography (1)
- optical flow (1)
- optical safeguard sensor (1)
- optical tracking (1)
- optical triangulation (1)
- optimal control (1)
- optimal control problem (1)
- optimized geometries (1)
- opto-electronic protective device (1)
- optoelectronic (1)
- parallel BFS (1)
- parallel difference visualization (1)
- parallel work queue (1)
- parameter estimation (1)
- parameter sensitivities of residuals of ARRs (1)
- parameter sensitivity of residuals (1)
- parametric (1)
- payment protocol (1)
- pedestrian counting system (1)
- pedestrian movements (1)
- pen interaction (1)
- perceived quality (1)
- perception of upright (1)
- performance modeling (1)
- performance optimizations (1)
- performance prediction (1)
- peripheral visual field (1)
- person and object detection and recognition (1)
- phenomenological approaches (1)
- phenotypic diversity (1)
- phenotypic feature (1)
- phenotypic niching (1)
- photometry (1)
- physical model immersive (1)
- physiological monitoring (1)
- plasma-enhanced CVD (PECVD) (deposition) (1)
- porous material (1)
- posture analysis (1)
- power spectral density (1)
- pre-optimization (1)
- predictive maintenance (1)
- prefrontal cortex (1)
- prehensile motions (1)
- preprocessing (1)
- presentation attack detection (1)
- presentation attack detection (PAD) (1)
- prioritizable ranking (1)
- privacy at work (1)
- privacy by design (1)
- process (1)
- prognosis (1)
- project-based learning (1)
- projection (1)
- projection based systems (1)
- propan-2-ol (1)
- property-based testing for robots (1)
- prototype theory (1)
- proxemics (1)
- pseudo-random number generator (1)
- psychophysics (1)
- qualitative reasoning (1)
- quality-diversity (1)
- quantitative model-based fault detection (1)
- quantum mechanics (1)
- question answering (1)
- radio-frequency identification (RFID) systems (1)
- rapid prototyping tool (1)
- ray tracing (1)
- rds encoding (1)
- recurrent neural network function (1)
- reference dataset (1)
- refined beam theory (1)
- region of interest (1)
- regression (1)
- regression testing (1)
- remaining useful life (1)
- remote diagnosis (1)
- remote sensing (1)
- remote-controlled robots (1)
- rendering (computer graphics) (1)
- repeated trend projection (1)
- representation (1)
- representation learning (1)
- requirements (1)
- requirements analysis (1)
- requirements management (1)
- residual bond graph sinks (1)
- resource utilization (1)
- reuse of indicators (1)
- ride comfort (1)
- road (1)
- robot action diagnosability (1)
- robot behaviour model (1)
- robot component monitoring (1)
- robot context awareness (1)
- robot control (1)
- robot control architecture (1)
- robot failure diagnosis (1)
- robot kinematics (1)
- robot personalisation (1)
- robot skill execution failures (1)
- robot skill generalisation (1)
- robotic arm (1)
- robotic black box (1)
- robotic evaluation (1)
- robots (1)
- routing (1)
- rules (1)
- run-time adaptation (1)
- rural areas (1)
- scalability (1)
- scene element representation (1)
- scene-segmentation (1)
- scenes (1)
- screens (display) (1)
- security APIs (1)
- security and privacy literacy (1)
- see-through display (1)
- see-through head-mounted displays (1)
- self-configuration (1)
- self-management (1)
- semantic image seg-mentation (1)
- semantic mapping (1)
- semi-continuous locomotion (1)
- semi-supervised learning (1)
- sensemaking (1)
- sensor data acquisition (1)
- sensor data transmission (1)
- sensor fusion (1)
- sensor resilience (1)
- sensor-based fault detection and diagnosis (1)
- sensory perception (1)
- server processors (1)
- service activities (1)
- shared memory (1)
- shell theory (1)
- short tandem repeat (1)
- short-term memory (1)
- signal processing algorithm (1)
- simulation of fault scenarios (1)
- simulation-based robot testing (1)
- simulator (1)
- situation awareness (1)
- skill execution models (1)
- skin detection (1)
- slip detection (1)
- slope based signature (1)
- small molecule (1)
- software (1)
- software development (1)
- software engineering (1)
- software testing (1)
- software-based feedback agents (1)
- software-defined networking (1)
- space flight analog (1)
- spatial augmented reality (1)
- spatial orientation (1)
- spectral rendering (1)
- spectrum scan (1)
- spectrum sensing (1)
- speech recognition (1)
- spinal posture (1)
- static friction (1)
- stereoscopic vision (1)
- stiffeners (1)
- story authoring (1)
- strain (1)
- stress (1)
- stress detection (1)
- subjective visual vertical (1)
- submillimeter precision (1)
- support vector machine (1)
- surface textures (1)
- surface topography (1)
- surrogate assisted phenotypic niching (1)
- surrogate models (1)
- switched three-phase power inverter (1)
- synthetic dataset (1)
- system mode independent bond graph representation (1)
- system modes (1)
- tactile sensing (1)
- task models (1)
- task planning (1)
- taxonomie (1)
- teaching (1)
- technology mapping (1)
- teleoperation (1)
- teleportation (1)
- telepresence (1)
- telomeres (1)
- territoriality (1)
- test case reduction (1)
- text detection (1)
- text entry in motion (1)
- text localization (1)
- textual model description languages (1)
- thread mapping (1)
- tiled displays (1)
- time series analysis (1)
- time series processing (1)
- tools for education (1)
- touchscreen (1)
- trace model (1)
- trace-based system (1)
- track irregularity (1)
- traffic sign detection (1)
- traffic sign localization (1)
- training monitoring (1)
- training performance relationship (1)
- transparency-enhancing technologies (1)
- travel techniques (1)
- true random number generator (1)
- tumor microenvironment (1)
- tumor-infiltrating immune cells (1)
- ultrasonic sensor (1)
- un-manned aerial vehicle (1)
- uncertainties (1)
- unexpected situations (1)
- unique bond graph representation for all modes of operation (1)
- unmanned ground vehicle (1)
- unrolling (1)
- unstructured data (1)
- unsupervised learning (1)
- usability (1)
- usable privacy controls (1)
- usable secure email (1)
- usage contexts (1)
- usage data analysis (1)
- user documentation (1)
- user engagement (1)
- user input (1)
- user interaction (1)
- user interface design (1)
- user modelling (1)
- vector units (1)
- verification and validation of robot action execution (1)
- vestibular system (1)
- view management (1)
- virtual environment framework (1)
- virtual locomotion (1)
- virtual or soft keyboard (1)
- visual attention (1)
- visual quality control (1)
- visualisation (1)
- visualization (1)
- visuohaptic feedback (1)
- walking (1)
- water dimer (1)
- wavelet (1)
- wearable sensor (1)
- wearable sensors (1)
- web (1)
- web components (1)
- web services (1)
- web technology (1)
- website (1)
- weight perception (1)
- weighting factors (1)
- welfare technology (1)
- whole-body interface (1)
- whole-exome sequencing (1)
- wind nuisance (1)
- wind nuisance threshold (1)
- wireless communication (1)
- wireless mesh networks (1)
- wireless performance (1)
- wmSDN (1)
- workday breaks (1)
- workspace awareness (1)
- xorshift-generator (1)
- youBot (1)
- zooming interface (1)
- zooming interfaces (1)
- Wavenet (1)
Due to their user-friendliness and reliability, biometric systems have taken a central role in everyday digital identity management for all kinds of private, financial and governmental applications with increasing security requirements. A central security aspect of unsupervised biometric authentication systems is the presentation attack detection (PAD) mechanism, which defines the robustness to fake or altered biometric features. Artifacts like photos, artificial fingers, face masks and fake iris contact lenses are a general security threat for all biometric modalities. The Biometric Evaluation Center of the Institute of Safety and Security Research (ISF) at the University of Applied Sciences Bonn-Rhein-Sieg has specialized in the development of a near-infrared (NIR)-based contact-less detection technology that can distinguish between human skin and most artifact materials. This technology is highly adaptable and has already been successfully integrated into fingerprint scanners, face recognition devices and hand vein scanners. In this work, we introduce a cutting-edge, miniaturized near-infrared presentation attack detection (NIR-PAD) device. It includes an innovative signal processing chain and an integrated distance measurement feature to boost both reliability and resilience. We detail the device’s modular configuration and conceptual decisions, highlighting its suitability as a versatile platform for sensor fusion and seamless integration into future biometric systems. This paper elucidates the technological foundations and conceptual framework of the NIR-PAD reference platform, alongside an exploration of its potential applications and prospective enhancements.
During robot-assisted therapy, a robot typically needs to be partially or fully controlled by therapists, for instance using a Wizard-of-Oz protocol; this makes therapeutic sessions tedious to conduct, as therapists cannot fully focus on the interaction with the person under therapy. In this work, we develop a learning-based behaviour model that can be used to increase the autonomy of a robot’s decision-making process. We investigate reinforcement learning as a model training technique and compare different reward functions that consider a user’s engagement and activity performance. We also analyse various strategies that aim to make the learning process more tractable, namely i) behaviour model training with a learned user model, ii) policy transfer between user groups, and iii) policy learning from expert feedback. We demonstrate that policy transfer can significantly speed up the policy learning process, although the reward function has an important effect on the actions that a robot can choose. Although the main focus of this paper is the personalisation pipeline itself, we further evaluate the learned behaviour models in a small-scale real-world feasibility study in which six users participated in a sequence learning game with an assistive robot. The results of this study seem to suggest that learning from guidance may result in the most adequate policies in terms of increasing the engagement and game performance of users, but a large-scale user study is needed to verify the validity of that observation.
The European General Data Protection Regulation requires the implementation of Technical and Organizational Measures (TOMs) to reduce the risk of illegitimate processing of personal data. For these measures to be effective, they must be applied correctly by employees who process personal data under the authority of their organization. However, even data processing employees often have limited knowledge of data protection policies and regulations, which increases the likelihood of misconduct and privacy breaches. To lower the likelihood of unintentional privacy breaches, TOMs must be developed with employees’ needs, capabilities, and usability requirements in mind. To reduce implementation costs and help organizations and IT engineers with the implementation, privacy patterns have proven to be effective for this purpose. In this chapter, we introduce the privacy pattern Data Cart, which specifically helps to develop TOMs for data processing employees. Based on a user-centered design approach with employees from two public organizations in Germany, we present a concept that illustrates how Privacy by Design can be effectively implemented. Organizations, IT engineers, and researchers will gain insight on how to improve the usability of privacy-compliant tools for managing personal data.
Users should always play a central role in the development of (software) solutions. The human-centered design (HCD) process in the ISO 9241-210 standard proposes a procedure for systematically involving users. However, due to its abstraction level, the HCD process provides little guidance for how it should be implemented in practice. In this chapter, we propose three concrete practical methods that enable the reader to develop usable security and privacy (USP) solutions using the HCD process. This chapter equips the reader with the procedural knowledge and recommendations to: (1) derive mental models with regard to security and privacy, (2) analyze USP needs and privacy-related requirements, and (3) collect user characteristics on privacy and structure them by user group profiles and into privacy personas. Together, these approaches help to design measures for a user-friendly implementation of security and privacy measures based on a firm understanding of the key stakeholders.
Selection Performance and Reliability of Eye and Head Gaze Tracking Under Varying Light Conditions
(2024)
Is It Really You Who Forgot the Password? When Account Recovery Meets Risk-Based Authentication
(2024)
Self-motion perception is a multi-sensory process that involves visual, vestibular, and other cues. When perception of self-motion is induced using only visual motion, vestibular cues indicate that the body remains stationary, which may bias an observer’s perception. When lowering the precision of the vestibular cue by for example, lying down or by adapting to microgravity, these biases may decrease, accompanied by a decrease in precision. To test this hypothesis, we used a move-to-target task in virtual reality. Astronauts and Earth-based controls were shown a target at a range of simulated distances. After the target disappeared, forward self-motion was induced by optic flow. Participants indicated when they thought they had arrived at the target’s previously seen location. Astronauts completed the task on Earth (supine and sitting upright) prior to space travel, early and late in space, and early and late after landing. Controls completed the experiment on Earth using a similar regime with a supine posture used to simulate being in space. While variability was similar across all conditions, the supine posture led to significantly higher gains (target distance/perceived travel distance) than the sitting posture for the astronauts pre-flight and early post-flight but not late post-flight. No difference was detected between the astronauts’ performance on Earth and onboard the ISS, indicating that judgments of traveled distance were largely unaffected by long-term exposure to microgravity. Overall, this constitutes mixed evidence as to whether non-visual cues to travel distance are integrated with relevant visual cues when self-motion is simulated using optic flow alone.
Force field (FF) based molecular modeling is an often used method to investigate and study structural and dynamic properties of (bio-)chemical substances and systems. When such a system is modeled or refined, the force field parameters need to be adjusted. This force field parameter optimization can be a tedious task and is always a trade-off in terms of errors regarding the targeted properties. To better control the balance of various properties’ errors, in this study we introduce weighting factors for the optimization objectives. Different weighting strategies are compared to fine-tune the balance between bulk-phase density and relative conformational energies (RCE), using n-octane as a representative system. Additionally, a non-linear projection of the individual property-specific parts of the optimized loss function is deployed to further improve the balance between them. The results show that the overall error is reduced. One interesting outcome is a large variety in the resulting optimized force field parameters (FFParams) and corresponding errors, suggesting that the optimization landscape is multi-modal and very dependent on the weighting factor setup. We conclude that adjusting the weighting factors can be a very important feature to lower the overall error in the FF optimization procedure, giving researchers the possibility to fine-tune their FFs.
In vision tasks, a larger effective receptive field (ERF) is associated with better performance. While attention natively supports global context, convolution requires multiple stacked layers and a hierarchical structure for large context. In this work, we extend Hyena, a convolution-based attention replacement, from causal sequences to the non-causal two-dimensional image space. We scale the Hyena convolution kernels beyond the feature map size up to 191$\times$191 to maximize the ERF while maintaining sub-quadratic complexity in the number of pixels. We integrate our two-dimensional Hyena, HyenaPixel, and bidirectional Hyena into the MetaFormer framework. For image categorization, HyenaPixel and bidirectional Hyena achieve a competitive ImageNet-1k top-1 accuracy of 83.0% and 83.5%, respectively, while outperforming other large-kernel networks. Combining HyenaPixel with attention further increases accuracy to 83.6%. We attribute the success of attention to the lack of spatial bias in later stages and support this finding with bidirectional Hyena.
This work proposes a novel approach for probabilistic end-to-end all-sky imager-based nowcasting with horizons of up to 30 min using an ImageNet pre-trained deep neural network. The method involves a two-stage approach. First, a backbone model is trained to estimate the irradiance from all-sky imager (ASI) images. The model is then extended and retrained on image and parameter sequences for forecasting. An open access data set is used for training and evaluation. We investigated the impact of simultaneously considering global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI) on training time and forecast performance as well as the effect of adding parameters describing the irradiance variability proposed in the literature. The backbone model estimates current GHI with an RMSE and MAE of 58.06 and 29.33 W m−2, respectively. When extended for forecasting, the model achieves an overall positive skill score reaching 18.6 % compared to a smart persistence forecast. Minor modifications to the deterministic backbone and forecasting models enables the architecture to output an asymmetrical probability distribution and reduces training time while leading to similar errors for the backbone models. Investigating the impact of variability parameters shows that they reduce training time but have no significant impact on the GHI forecasting performance for both deterministic and probabilistic forecasting while simultaneously forecasting GHI, DNI, and DHI reduces the forecast performance.
This paper presents the b-it-bots RoboCup@Work team and its current hardware and functional architecture for the KUKA youBot robot. We describe the underlying software framework and the developed capabilities required for operating in industrial environments including features such as reliable and precise navigation, flexible manipulation, robust object recognition and task planning. New developments include an approach to grasp vertical objects, placement of objects by considering the empty space on a workstation, and the process of porting our code to ROS2.
Neuromorphic computing aims to mimic the computational principles of the brain in silico and has motivated research into event-based vision and spiking neural networks (SNNs). Event cameras (ECs) capture local, independent changes in brightness, and offer superior power consumption, response latencies, and dynamic ranges compared to frame-based cameras. SNNs replicate neuronal dynamics observed in biological neurons and propagate information in sparse sequences of ”spikes”. Apart from biological fidelity, SNNs have demonstrated potential as an alternative to conventional artificial neural networks (ANNs), such as in reducing energy expenditure and inference time in visual classification. Although potentially beneficial for robotics, the novel event-driven and spike-based paradigms remain scarcely explored outside the domain of aerial robots.
To investigate the utility of brain-inspired sensing and data processing in a robotics application, we developed a neuromorphic approach to real-time, online obstacle avoidance on a manipulator with an onboard camera. Our approach adapts high-level trajectory plans with reactive maneuvers by processing emulated event data in a convolutional SNN, decoding neural activations into avoidance motions, and adjusting plans in a dynamic motion primitive formulation. We conducted simulated and real experiments with a Kinova Gen3 arm performing simple reaching tasks involving static and dynamic obstacles. Our implementation was systematically tuned, validated, and tested in sets of distinct task scenarios, and compared to a non-adaptive baseline through formalized quantitative metrics and qualitative criteria.
The neuromorphic implementation facilitated reliable avoidance of imminent collisions in most scenarios, with 84% and 92% median success rates in simulated and real experiments, where the baseline consistently failed. Adapted trajectories were qualitatively similar to baseline trajectories, indicating low impacts on safety, predictability and smoothness criteria. Among notable properties of the SNN were the correlation of processing time with the magnitude of perceived motions (captured in events) and robustness to different event emulation methods. Preliminary tests with a DAVIS346 EC showed similar performance, validating our experimental event emulation method. These results motivate future efforts to incorporate SNN learning, utilize neuromorphic processors, and target other robot tasks to further explore this approach.
The non-filarial and non-communicable disease podoconiosis affects around 4 million people and is characterized by severe leg lymphedema accompanied with painful intermittent acute inflammatory episodes, called acute dermatolymphangioadenitis (ADLA) attacks. Risk factors have been associated with the disease but the mechanisms of pathophysiology remain uncertain. Lymphedema can lead to skin lesions, which can serve as entry points for bacteria that may cause ADLA attacks leading to progression of the lymphedema. However, the microbiome of the skin of affected legs from podoconiosis individuals remains unclear. Thus, we analysed the skin microbiome of podoconiosis legs using next generation sequencing. We revealed a positive correlation between increasing lymphedema severity and non-commensal anaerobic bacteria, especially Anaerococcus provencensis, as well as a negative correlation with the presence of Corynebacterium, a constituent of normal skin flora. Disease symptoms were generally linked to higher microbial diversity and richness, which deviated from the normal composition of the skin. These findings show an association of distinct bacterial taxa with lymphedema stages, highlighting the important role of bacteria for the pathogenesis of podoconiosis and might enable a selection of better treatment regimens to manage ADLA attacks and disease progression.
While humans can effortlessly pick a view from multiple streams, automatically choosing the best view is a challenge. Choosing the best view from multi-camera streams poses a problem regarding which objective metrics should be considered. Existing works on view selection lack consensus about which metrics should be considered to select the best view. The literature on view selection describes diverse possible metrics. And strategies such as information-theoretic, instructional design, or aesthetics-motivated fail to incorporate all approaches. In this work, we postulate a strategy incorporating information-theoretic and instructional design-based objective metrics to select the best view from a set of views. Traditionally, information-theoretic measures have been used to find the goodness of a view, such as in 3D rendering. We adapted a similar measure known as the viewpoint entropy for real-world 2D images. Additionally, we incorporated similarity penalization to get a more accurate measure of the entropy of a view, which is one of the metrics for the best view selection. Since the choice of the best view is domain-dependent, we chose demonstration-based training scenarios as our use case. The limitation of our chosen scenarios is that they do not include collaborative training and solely feature a single trainer. To incorporate instructional design considerations, we included the trainer’s body pose, face, face when instructing, and hands visibility as metrics. To incorporate domain knowledge we included predetermined regions’ visibility as another metric. All of those metrics are taken into account to produce a parameterized view recommendation approach for demonstration-based training. An online study using recorded multi-camera video streams from a simulation environment was used to validate those metrics. Furthermore, the responses from the online study were used to optimize the view recommendation performance with a normalized discounted cumulative gain (NDCG) value of 0.912, which shows good performance with respect to matching user choices.
This paper addresses the classification of Arabic text data in the field of Natural Language Processing (NLP), with a particular focus on Natural Language Inference (NLI) and Contradiction Detection (CD). Arabic is considered a resource-poor language, meaning that there are few data sets available, which leads to limited availability of NLP methods. To overcome this limitation, we create a dedicated data set from publicly available resources. Subsequently, transformer-based machine learning models are being trained and evaluated. We find that a language-specific model (AraBERT) performs competitively with state-of-the-art multilingual approaches, when we apply linguistically informed pre-training methods such as Named Entity Recognition (NER). To our knowledge, this is the first large-scale evaluation for this task in Arabic, as well as the first application of multi-task pre-training in this context.
Loading of shipping containers for dairy products often includes a press-fit task, which involves manually stacking milk cartons in a container without using pallets or packaging. Automating this task with a mobile manipulator can reduce worker strain, and also enhance the efficiency and safety of the container loading process. This paper proposes an approach called Adaptive Compliant Control with Integrated Failure Recovery (ACCIFR), which enables a mobile manipulator to reliably perform the press-fit task. We base the approach on a demonstration learning-based compliant control framework, such that we integrate a monitoring and failure recovery mechanism for successful task execution. Concretely, we monitor the execution through distance and force feedback, detect collisions while the robot is performing the press-fit task, and use wrench measurements to classify the direction of collision; this information informs the subsequent recovery process. We evaluate the method on a miniature container setup, considering variations in the (i) starting position of the end effector, (ii) goal configuration, and (iii) object grasping position. The results demonstrate that the proposed approach outperforms the baseline demonstration-based learning framework regarding adaptability to environmental variations and the ability to recover from collision failures, making it a promising solution for practical press-fit applications.
Question Answering (QA) has gained significant attention in recent years, with transformer-based models improving natural language processing. However, issues of explainability remain, as it is difficult to determine whether an answer is based on a true fact or a hallucination. Knowledge-based question answering (KBQA) methods can address this problem by retrieving answers from a knowledge graph. This paper proposes a hybrid approach to KBQA called FRED, which combines pattern-based entity retrieval with a transformer-based question encoder. The method uses an evolutionary approach to learn SPARQL patterns, which retrieve candidate entities from a knowledge base. The transformer-based regressor is then trained to estimate each pattern’s expected F1 score for answering the question, resulting in a ranking ofcandidate entities. Unlike other approaches, FRED can attribute results to learned SPARQL patterns, making them more interpretable. The method is evaluated on two datasets and yields MAP scores of up to 73 percent, with the transformer-based interpretation falling only 4 pp short of an oracle run. Additionally, the learned patterns successfully complement manually generated ones and generalize well to novel questions.
Although climate-induced liquidity risks can cause significant disruptions and instabilities in the financial sector, they are frequently overlooked in current debates and policy discussions. This paper proposes a macro-financial agent-based integrated assessment model to investigate the transmission channels of climate risks to financial instability and study the emergence of liquidity crises through interbank market dynamics. Our simulations show that the financial system could experience serious funding and market liquidity shortages due to climate-induced liquidity crises. Our investigation contributes to our understanding of the impact - and possible solutions - to climate-induced liquidity crises, besides the issue of asset stranding related to transition risks usually considered in the existing studies.
This research investigates the efficacy of multisensory cues for locating targets in Augmented Reality (AR). Sensory constraints can impair perception and attention in AR, leading to reduced performance due to factors such as conflicting visual cues or a restricted field of view. To address these limitations, the research proposes head-based multisensory guidance methods that leverage audio-tactile cues to direct users' attention towards target locations. The research findings demonstrate that this approach can effectively reduce the influence of sensory constraints, resulting in improved search performance in AR. Additionally, the thesis discusses the limitations of the proposed methods and provides recommendations for future research.
Microbiome analyses are essential for understanding microorganism composition and diversity, but interpretation is often challenging due to biological and technical variables. DNA extraction is a critical step that can significantly bias results, particularly in samples containing a high abundance of challenging-to-lyse microorganisms. Taking into consideration the distinctive microenvironments observed in different bodily locations, our study sought to assess the extent of bias introduced by suboptimal bead-beating during DNA extraction across diverse clinical sample types. The question was whether complex targeted extraction methods are always necessary for reliable taxonomic abundance estimation through amplicon sequencing or if simpler alternatives are effective for some sample types. Hence, for four different clinical sample types (stool, cervical swab, skin swab, and hospital surface swab samples), we compared the results achieved from extracting targeted manual protocols routinely used in our research lab for each sample type with automated protocols specifically not designed for that purpose. Unsurprisingly, we found that for the stool samples, manual extraction protocols with vigorous bead-beating were necessary in order to avoid erroneous taxa proportions on all investigated taxonomic levels and, in particular, false under- or overrepresentation of important genera such as Blautia, Faecalibacterium, and Parabacteroides. However, interestingly, we found that the skin and cervical swab samples had similar results with all tested protocols. Our results suggest that the level of practical automation largely depends on the expected microenvironment, with skin and cervical swabs being much easier to process than stool samples. Prudent consideration is necessary when extending the conclusions of this study to applications beyond rough estimations of taxonomic abundance.
LiDAR-based Indoor Localization with Optimal Particle Filters using Surface Normal Constraints
(2023)
The perceptual upright results from the multisensory integration of the directions indicated by vision and gravity as well as a prior assumption that upright is towards the head. The direction of gravity is signalled by multiple cues, the predominant of which are the otoliths of the vestibular system and somatosensory information from contact with the support surface. Here, we used neutral buoyancy to remove somatosensory information while retaining vestibular cues, thus "splitting the gravity vector" leaving only the vestibular component. In this way, neutral buoyancy can be used as a microgravity analogue. We assessed spatial orientation using the oriented character recognition test (OChaRT, which yields the perceptual upright, PU) under both neutrally buoyant and terrestrial conditions. The effect of visual cues to upright (the visual effect) was reduced under neutral buoyancy compared to on land but the influence of gravity was unaffected. We found no significant change in the relative weighting of vision, gravity, or body cues, in contrast to results found both in long-duration microgravity and during head-down bed rest. These results indicate a relatively minor role for somatosensation in determining the perceptual upright in the presence of vestibular cues. Short-duration neutral buoyancy is a weak analogue for microgravity exposure in terms of its perceptual consequences compared to long-duration head-down bed rest.
Risikobasierte Authentifizierung (RBA) ist ein adaptiver Ansatz zur Stärkung der Passwortauthentifizierung. Er überwacht eine Reihe von Merkmalen, die sich auf das Loginverhalten während der Passworteingabe beziehen. Wenn sich die beobachteten Merkmalswerte signifikant von denen früherer Logins unterscheiden, fordert RBA zusätzliche Identitätsnachweise an. Regierungsbehörden und ein Erlass des US-Präsidenten empfehlen RBA, um Onlineaccounts vor Angriffen mit gestohlenen Passwörtern zu schützen. Trotz dieser Tatsachen litt RBA unter einem Mangel an offenem Wissen. Es gab nur wenige bis keine Untersuchungen über die Usability, Sicherheit und Privatsphäre von RBA. Das Verständnis dieser Aspekte ist jedoch wichtig für eine breite Akzeptanz.
Diese Arbeit soll ein umfassendes Verständnis von RBA mit einer Reihe von Studien vermitteln. Die Ergebnisse ermöglichen es, datenschutzfreundliche RBA-Lösungen zu schaffen, die die Authentifizierung stärken bei gleichzeitig hoher Menschenakzeptanz.
Saliency methods are frequently used to explain Deep Neural Network-based models. Adebayo et al.'s work on evaluating saliency methods for classification models illustrate certain explanation methods fail the model and data randomization tests. However, on extending the tests for various state of the art object detectors we illustrate that the ability to explain a model is more dependent on the model itself than the explanation method. We perform sanity checks for object detection and define new qualitative criteria to evaluate the saliency explanations, both for object classification and bounding box decisions, using Guided Backpropagation, Integrated Gradients, and their Smoothgrad versions, together with Faster R-CNN, SSD, and EfficientDet-D0, trained on COCO. In addition, the sensitivity of the explanation method to model parameters and data labels varies class-wise motivating to perform the sanity checks for each class. We find that EfficientDet-D0 is the most interpretable method independent of the saliency method, which passes the sanity checks with little problems.