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Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices.

Weidong XuJingke HeWeihua LiYi HeHaiyang WanWu QinZhuyun Chen
Published in: Sensors (2023)
Keyphrases
  • short term
  • long term
  • load forecasting
  • stock market
  • long term memory
  • motion prediction
  • facial expressions
  • arima model
  • medium term
  • wearable devices
  • short term prediction