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1 Ergebnisse
1
ActiNet: A reliable Deep Learning model for Human Activity ..:
, In:
2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
,
Kulkarni, Mitali
;
Lamba, Jiya
;
Chennagiri, Shuchith
.. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/I2CT61223.2024.10544290
RT T1 <cTitle>2024 IEEE 9th International Conference for Convergence in Technology (I2CT)</cTitle>: T1 <Title>ActiNet: A reliable Deep Learning model for Human Activity Recognition using Internet of Things</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10544290&Exemplar=1&LAN=DE A1 Kulkarni, Mitali A1 Lamba, Jiya A1 Chennagiri, Shuchith A1 Kulkarni, Darshan A1 Varur, Sneha YR 2024 K1 Deep learning K1 Legged locomotion K1 Human activity recognition K1 Internet of Things K1 Convolutional neural networks K1 Reliability K1 Long short term memory K1 Convolutional Neural Networks (CNNs) K1 Bidirectional Long Short-Term Memory (BiLSTM) K1 Synthetic Minority Over-sampling Technique (SMOTE) K1 Deep Learning (DL) SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/I2CT61223.2024.10544290 DO https://doi.org/10.1109/I2CT61223.2024.10544290 SF ELIB - SuUB Bremen
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