statistiche ricercatore

Nome	#
A self-supervised LSTM network for cell temperature prediction in aluminium electrolysis reduction	26
Processes soft modeling based on stacked autoencoders and wavelet extreme learning machine for aluminum plant-wide application	15
A scoping review on monitoring mental health using smart wearable devices	14
Underflow concentration prediction based on improved dual bidirectional LSTM for hierarchical cone thickener system	12
An improved cell situation identification approach with convolutional neural network and wavelet extreme learning machine	11
Manifold semi-supervised learning for aluminum electrolysis temperature identification based on regularized hierarchical extreme learning machine	11
A self-supervised temporal temperature prediction method based on dilated contrastive learning	10
DualLSTM: A novel key-quality prediction for a hierarchical cone thickener	8
Totale	107

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	3	0	0	0	0	0	0	0	0	2	0	0	1
2022/2023	7	1	0	0	0	0	0	0	0	5	0	1	0
2023/2024	22	0	2	0	2	0	0	3	1	7	4	0	3
2024/2025	75	13	6	4	12	26	13	1	0	0	0	0	0
Totale													107

RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano