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International Journal of Environmental Research and Public Health
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January 27, 2017
Prediction of Air Pollutants Concentration Based on an Extreme Learning Machine: The Case of Hong Kong
Jiangshe Zhang, Weifu Ding
IEEE Transactions on Neural Networks and Learning Systems
|
April 7, 2023
Understanding Short-Range Memory Effects in Deep Neural Networks
Chengli Tan, Jiangshe Zhang, Junmin Liu
Environmental Science and Pollution Research International
|
July 8, 2016
Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks
Weifu Ding, Jiangshe Zhang, Yee Leung
Neural Networks : the Official Journal of the International Neural Network Society
|
January 18, 2020
Bayesian deep matrix factorization network for multiple images denoising
Shuang Xu, Chunxia Zhang, Jiangshe Zhang
Neural Networks : the Official Journal of the International Neural Network Society
|
January 23, 2025
DCTCNet: Sequency discrete cosine transform convolution network for visual recognition
Jiayong Bao, Jiangshe Zhang, Chunxia Zhang, et al.
IEEE Transactions on Cybernetics
|
July 16, 2020
Toward a Controllable Disentanglement Network
Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 30, 2014
Enhancing Low-Rank Subspace Clustering by Manifold Regularization
Junmin Liu, Yijun Chen, JiangShe Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 21, 2019
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks
Zengjie Song, Jiangshe Zhang, Guang Shi, et al.
Springerplus
|
December 10, 2016
Manifold regularization for sparse unmixing of hyperspectral images
Junmin Liu, Chunxia Zhang, Jiangshe Zhang, et al.
Chemosphere
|
December 5, 2023
Modeling the air pollution process using a novel multi-site and multi-scale method with adaptive utilization of spatio-temporal information
Guang Shi, Yee Leung, Jiangshe Zhang, et al.
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of 2
Search research articles
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Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
International Journal of Environmental Research and Public Health
|
January 27, 2017
Prediction of Air Pollutants Concentration Based on an Extreme Learning Machine: The Case of Hong Kong
Jiangshe Zhang, Weifu Ding
IEEE Transactions on Neural Networks and Learning Systems
|
April 7, 2023
Understanding Short-Range Memory Effects in Deep Neural Networks
Chengli Tan, Jiangshe Zhang, Junmin Liu
Environmental Science and Pollution Research International
|
July 8, 2016
Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks
Weifu Ding, Jiangshe Zhang, Yee Leung
Neural Networks : the Official Journal of the International Neural Network Society
|
January 18, 2020
Bayesian deep matrix factorization network for multiple images denoising
Shuang Xu, Chunxia Zhang, Jiangshe Zhang
Neural Networks : the Official Journal of the International Neural Network Society
|
January 23, 2025
DCTCNet: Sequency discrete cosine transform convolution network for visual recognition
Jiayong Bao, Jiangshe Zhang, Chunxia Zhang, et al.
IEEE Transactions on Cybernetics
|
July 16, 2020
Toward a Controllable Disentanglement Network
Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 30, 2014
Enhancing Low-Rank Subspace Clustering by Manifold Regularization
Junmin Liu, Yijun Chen, JiangShe Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 21, 2019
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks
Zengjie Song, Jiangshe Zhang, Guang Shi, et al.
Springerplus
|
December 10, 2016
Manifold regularization for sparse unmixing of hyperspectral images
Junmin Liu, Chunxia Zhang, Jiangshe Zhang, et al.
Chemosphere
|
December 5, 2023
Modeling the air pollution process using a novel multi-site and multi-scale method with adaptive utilization of spatio-temporal information
Guang Shi, Yee Leung, Jiangshe Zhang, et al.
Page
of 2