barium-study
发表于 2025-3-23 09:49:31
http://reply.papertrans.cn/71/7021/702011/702011_11.png
PALL
发表于 2025-3-23 15:43:03
http://reply.papertrans.cn/71/7021/702011/702011_12.png
我邪恶
发表于 2025-3-23 19:16:18
Siu-Kui Au challenges in smartphone-based HAR, such as device location and subject dependency, and manual feature extraction. We showed that the CNN model accomplished location- and subject-independent recognition with overall accuracy of 98.38% and 90.61%, respectively. The LSTM model also performed location
犬儒主义者
发表于 2025-3-24 00:18:17
http://reply.papertrans.cn/71/7021/702011/702011_14.png
公司
发表于 2025-3-24 02:43:52
http://reply.papertrans.cn/71/7021/702011/702011_15.png
矿石
发表于 2025-3-24 10:34:29
http://reply.papertrans.cn/71/7021/702011/702011_16.png
异端邪说2
发表于 2025-3-24 12:38:08
Siu-Kui Auffers the solution to overcome this issue. We propose two deep learning models which are long-short-term memory only (LSTM-only) and the combination of convolutional neural networks and LSTM (CNN-LSTM) for intrusion detection system. Both proposed methods achieve better accuracy than that of the exi
PRISE
发表于 2025-3-24 17:03:08
challenges in smartphone-based HAR, such as device location and subject dependency, and manual feature extraction. We showed that the CNN model accomplished location- and subject-independent recognition with overall accuracy of 98.38% and 90.61%, respectively. The LSTM model also performed location
营养
发表于 2025-3-24 20:30:43
http://reply.papertrans.cn/71/7021/702011/702011_19.png
opinionated
发表于 2025-3-24 23:46:29
http://reply.papertrans.cn/71/7021/702011/702011_20.png