Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices.
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%0 Journal Article
%1 journals/sensors/XuHLHWQC23
%A Xu, Weidong
%A He, Jingke
%A Li, Weihua
%A He, Yi
%A Wan, Haiyang
%A Qin, Wu
%A Chen, Zhuyun
%D 2023
%J Sensors
%K dblp
%N 18
%P 7874
%T Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices.
%U http://dblp.uni-trier.de/db/journals/sensors/sensors23.html#XuHLHWQC23
%V 23
@article{journals/sensors/XuHLHWQC23,
added-at = {2024-02-05T00:00:00.000+0100},
author = {Xu, Weidong and He, Jingke and Li, Weihua and He, Yi and Wan, Haiyang and Qin, Wu and Chen, Zhuyun},
biburl = {https://www.bibsonomy.org/bibtex/210b76dddb13910327f58f8523b91424a/dblp},
ee = {https://doi.org/10.3390/s23187874},
interhash = {c157764d5e1ee910ae73a6576f277903},
intrahash = {10b76dddb13910327f58f8523b91424a},
journal = {Sensors},
keywords = {dblp},
month = {September},
number = 18,
pages = 7874,
timestamp = {2024-04-09T04:22:54.000+0200},
title = {Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices.},
url = {http://dblp.uni-trier.de/db/journals/sensors/sensors23.html#XuHLHWQC23},
volume = 23,
year = 2023
}