Neural Computing for Advanced Applications
portes grátis
Neural Computing for Advanced Applications
Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part I
Wu, Zhou; Zhang, Haijun; Yang, Yimin; Chen, Yuehui; Chu, Xianghua; Hao, Tianyong; Zhang, Zhao
Springer Verlag, Singapore
10/2022
546
Mole
Inglês
9789811961410
15 a 20 dias
860
Descrição não disponível.
TE-BiLSTM: Improved Transformer and BiLSTM on Fraudulent Phone Text Recognition.- Cross elitist learning multifactorial evolutionary algorithm.- Heterogeneous Adaptive Denoising Networks for Recommendation.- Formation Control Optimization via Leader Selection for Rotor Unmanned Aerial Vehicles.- Dynamic Monitoring Method Based on Compara-tive Study of Power and Environmental Protection Indicators.- Combustion State Recognition Method in Municipal Solid Waste Incineration Process Based on Improved Deep Forest.- RPCA-induced Graph Tensor Learning for Incomplete Multi-view Inferring and Clustering.- TRUST-TECH Assisted GA-SVM Ensembles and its Applications.
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artificial intelligence;computer networks;computer vision;image analysis;image processing;image segmentation;information retrieval;machine learning;network protocols;neural networks;optimization;signal processing;telecommunication systems
TE-BiLSTM: Improved Transformer and BiLSTM on Fraudulent Phone Text Recognition.- Cross elitist learning multifactorial evolutionary algorithm.- Heterogeneous Adaptive Denoising Networks for Recommendation.- Formation Control Optimization via Leader Selection for Rotor Unmanned Aerial Vehicles.- Dynamic Monitoring Method Based on Compara-tive Study of Power and Environmental Protection Indicators.- Combustion State Recognition Method in Municipal Solid Waste Incineration Process Based on Improved Deep Forest.- RPCA-induced Graph Tensor Learning for Incomplete Multi-view Inferring and Clustering.- TRUST-TECH Assisted GA-SVM Ensembles and its Applications.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
