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1
Prediction of Sufficient Accuracy for Human Activity Recogn..:
, In:
2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
,
Charan, Sai
;
Saravanan., M.S
;
Surendran., R
- p. 609-614 , 2023
Link:
https://doi.org/10.1109/ICSCDS56580.2023.10104587
RT T1 <cTitle>2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)</cTitle>: T1 <Title>Prediction of Sufficient Accuracy for Human Activity Recognition using Novel Long Short Term Memory in Compared with Decision Tree</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10104587&Exemplar=1&LAN=DE A1 Charan, Sai A1 Saravanan., M.S A1 Surendran., R YR 2023 K1 Neural networks K1 Machine learning K1 Prediction algorithms K1 Decision trees K1 Data communication K1 Long short term memory K1 Standards K1 Machine Learning K1 Human Activity Recognition K1 Long Short Term Memory (LSTM) K1 Decision Tree K1 Postural K1 Local Invariant Methods K1 Recurrent Neural Network SP 609 OP 614 LK http://dx.doi.org/https://doi.org/10.1109/ICSCDS56580.2023.10104587 DO https://doi.org/10.1109/ICSCDS56580.2023.10104587 SF ELIB - SuUB Bremen
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