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Showing results (81-90 of 268) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|May 15, 2025
Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and ChallengesYanli Li, Zhongliang Guo, Nan Yang, et al.
Medical Image Analysis|November 24, 2022
SD-CNN: A static-dynamic convolutional neural network for functional brain networksJiashuang Huang, Mingliang Wang, Hengrong Ju, et al.
Applied Soft Computing|May 16, 2022
Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemicFelin Wilta, Allyson Li Chen Chong, Ganeshsree Selvachandran, et al.
Journal of Tissue Engineering and Regenerative Medicine|October 24, 2018
Large-scale high-density culture of hepatocytes in a liver microsystem with mimicked sinusoid blood flowJing Liu, Chengpan Li, Shaohui Cheng, et al.
Nanoscale|November 17, 2018
Molybdenum carbide promotion on Fe-N-doped carbon nanolayers facilely prepared for enhanced oxygen reductionYida Xu, Teng Chen, Tao Wang, et al.
IEEE Transactions on Cybernetics|March 4, 2025
Knowledge-Level Fusion: A Novel Information Fusion Mode From the Perspective of Granular ComputingFan Zhao, Qinghua Zhang, Ying Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 23, 2024
A Survey on Deep Active Learning: Recent Advances and New FrontiersDongyuan Li, Zhen Wang, Yankai Chen, et al.
ACS Biomaterials Science & Engineering|August 21, 2023
On-Chip Label-Free Sorting of Living and Dead CellsGuowei Wang, Chengpan Li, Chunguang Miao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 19, 2026
Select then fusion: An effective multi-atlas brain network analysis method with sparse and uncertain mechanismJiashuang Huang, Zhan Su, Shu Jiang, et al.
Chemical Communications (Cambridge, England)|August 11, 2011
Inorganic nanotubes formation through the synergic evolution of dynamic templates and metallophosphates: from vesicles to nanotubesXiangke Guo, Xuefeng Guo, Wenmei Tao, et al.
Pageof 27

Showing results (81-90 of 268) with videos related to

Sort By:
Pageof 27
IEEE Transactions on Neural Networks and Learning Systems|May 15, 2025
Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and ChallengesYanli Li, Zhongliang Guo, Nan Yang, et al.
Medical Image Analysis|November 24, 2022
SD-CNN: A static-dynamic convolutional neural network for functional brain networksJiashuang Huang, Mingliang Wang, Hengrong Ju, et al.
Applied Soft Computing|May 16, 2022
Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemicFelin Wilta, Allyson Li Chen Chong, Ganeshsree Selvachandran, et al.
Journal of Tissue Engineering and Regenerative Medicine|October 24, 2018
Large-scale high-density culture of hepatocytes in a liver microsystem with mimicked sinusoid blood flowJing Liu, Chengpan Li, Shaohui Cheng, et al.
Nanoscale|November 17, 2018
Molybdenum carbide promotion on Fe-N-doped carbon nanolayers facilely prepared for enhanced oxygen reductionYida Xu, Teng Chen, Tao Wang, et al.
IEEE Transactions on Cybernetics|March 4, 2025
Knowledge-Level Fusion: A Novel Information Fusion Mode From the Perspective of Granular ComputingFan Zhao, Qinghua Zhang, Ying Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 23, 2024
A Survey on Deep Active Learning: Recent Advances and New FrontiersDongyuan Li, Zhen Wang, Yankai Chen, et al.
ACS Biomaterials Science & Engineering|August 21, 2023
On-Chip Label-Free Sorting of Living and Dead CellsGuowei Wang, Chengpan Li, Chunguang Miao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 19, 2026
Select then fusion: An effective multi-atlas brain network analysis method with sparse and uncertain mechanismJiashuang Huang, Zhan Su, Shu Jiang, et al.
Chemical Communications (Cambridge, England)|August 11, 2011
Inorganic nanotubes formation through the synergic evolution of dynamic templates and metallophosphates: from vesicles to nanotubesXiangke Guo, Xuefeng Guo, Wenmei Tao, et al.
Pageof 27