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Optimizing IoT Video Data: Dimensionality Reduction for Efficient Deep Learning on Edge Computing
| Title: | Optimizing IoT Video Data: Dimensionality Reduction for Efficient Deep Learning on Edge Computing | Authors: | Ortiz, Perez David; Ruiz, Ponce Pablo; Mulero-Perez, David; Benavent, Lledo Manuel; Rodriguez, Juan Javier; Hernandez, Lopez Hugo; Iarovikov, Anatoli; Krco, Srdjan   ; Nedic, Daliborka; Vukobratovic, Dejan; |
Issue Date: | 2025 | Publication: | FUTURE INTERNET | ISSN: | 1999-5903 FUTURE INTERNET Search Idenfier |
Type: | Article | Collation: | vol. 17 br. 2 str. 53-53 | DOI: | 10.3390/fi17020053 | WoS-ID: | 001430809500001 | Scopus-ID: | 2-s2.0-85218460352 | URI: | https://enauka.gov.rs/handle/123456789/992921 | Project: | A way of making Europe European Regional Development Fund (ERDF) MCIN/AEI [TED2021-130890B-C21, 101086387] Spanish Ministry of Digital Processing European Union NextGeneration EU Spanish national and two regional grants [FPU21/00414, FPU22/04200, FPU23/00532, CIACIF/2021/430, CIACIF/2022/175] |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 22M22 |
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