← Назад к работе
Работы, на которые ссылается эта работа
Работ: 37
Работа: Hybrid LSTM–DNN Architecture with Low-Discrepancy Hypercube Sampling for Adaptive Forecasting and Data Reliability Control in Metallurgical Information-Control Systems
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Jay Lee, Behrad Bagheri, Hung-An Kao
Статья2014Цитирований: 7ABIA New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
Long Wen, Xinyu Li, Liang Gao +1
Статья2017Цитирований: 3ABIPredictive maintenance in the Industry 4.0: A systematic literature review
Tiago Zonta, Cristiano André da Costa, Rodrigo da Rosa Righi +3
Статья2020Цитирований: 3ABIThe evolution of production scheduling from Industry 3.0 through Industry 4.0
Zengqiang Jiang, Shuai Yuan, Jing Ma +1
Статья2021Цитирований: 2ABIWalking Gait Phase Detection Based on Acceleration Signals Using LSTM-DNN Algorithm
Статья2019Цитирований: 2ABI