Deep Learning for Human Activity Recognition / Communications in Computer and Information Science Bd.1370 (PDF)
Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings
(Sprache: Englisch)
This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the...
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Produktinformationen zu „Deep Learning for Human Activity Recognition / Communications in Computer and Information Science Bd.1370 (PDF)“
This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format.
The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more.
Bibliographische Angaben
- 2021, 1st ed. 2021, 139 Seiten, Englisch
- Herausgegeben: Xiaoli Li, Min Wu, Zhenghua Chen, Le Zhang
- Verlag: Springer Nature Singapore
- ISBN-10: 9811605750
- ISBN-13: 9789811605758
- Erscheinungsdatum: 17.02.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 21 MB
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