LEI, YONGXIANG
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Risultati 1 - 8 di 8 (tempo di esecuzione: 0.022 secondi).
A scoping review on monitoring mental health using smart wearable devices
2022-01-01 Long, N.; Lei, Y.; Peng, L.; Xu, P.; Mao, P.
A self-supervised LSTM network for cell temperature prediction in aluminium electrolysis reduction
2022-01-01 Lei, Y.; Karimi, H. R.
A self-supervised temporal temperature prediction method based on dilated contrastive learning
2022-01-01 Lei, Y.; Chen, X.; Xie, Y.; Cen, L.
An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine
2021-01-01 Lei, Y.; Chen, X.; Xie, Y.
DualLSTM: A novel key-quality prediction for a hierarchical cone thickener
2023-01-01 Lei, Yongxiang; Karimi, Hamid Reza
Manifold semi-supervised learning for aluminum electrolysis temperature identification based on regularized hierarchical extreme learning machine
2022-01-01 Lei, Yongxiang; Liu, Fang; Karimi, HAMID REZA; Chen, Xiaofang
Processes soft modeling based on stacked autoencoders and wavelet extreme learning machine for aluminum plant-wide application
2021-01-01 Lei, Y.; Karimi, H. R.; Cen, L.; Chen, X.; Xie, Y.
Underflow concentration prediction based on improved dual bidirectional LSTM for hierarchical cone thickener system
2023-01-01 Lei, Y.; Karimi, H. R.