Harnessing Sheaf Theory for Enhanced Air Quality Monitoring: Overcoming Conventional Limitations with Topology-Inspired Self-correcting Algorithm
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Anh-Duy Pham, An Dinh Le, Chuong Dinh Le, Hoang Viet Pham, Hien Bich Vo |
| Parent Title (English): | Arai (Ed.): Proceedings of the Future Technologies Conference (FTC) 2023, Volume 1 |
| Number of pages: | 21 |
| First Page: | 102 |
| Last Page: | 122 |
| ISBN: | 978-3-031-47453-8 |
| DOI: | https://doi.org/10.1007/978-3-031-47454-5_8 |
| Publisher: | Springer |
| Place of publication: | Cham |
| Date of first publication: | 2023/11/02 |
| Copyright: | © 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2023/11/08 |
