LSTM-XGB: A New Deep Learning Model for Human Activity Recognition based on LSTM and XGBoost
In: Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON); (2022-01-26) S. 342-345
Konferenz
Zugriff:
Titel: |
LSTM-XGB: A New Deep Learning Model for Human Activity Recognition based on LSTM and XGBoost
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Autor/in / Beteiligte Person: | Mekruksavanich, Sakorn ; Jantawong, Ponnipa ; Jitpattanakul, Anuchit |
Quelle: | Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON); (2022-01-26) S. 342-345 |
Veröffentlichung: | 2022 |
Medientyp: | Konferenz |
ISBN: | 978-1-6654-9510-3 (print) |
ISSN: | 2768-4644 (print) |
DOI: | 10.1109/ECTIDAMTNCON53731.2022.9720409 |
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