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Neural Computing for Advanced Applications : Third International Conference, NCAA 2022, Jinan, China, July 8–10, 2022, Proceedings, Part I / edited by Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang
(Communications in Computer and Information Science. ISSN:18650937 ; 1637)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	XX, 546 p. 215 illus., 153 illus. in color : online resource
著者標目	Zhang, Haijun editor Chen, Yuehui editor Chu, Xianghua editor Zhang, Zhao editor Hao, Tianyong editor Wu, Zhou editor Yang, Yimin editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002572	Computer Scinece R0 2005-6,2022-3				9789811961427

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一般注記	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 The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8–10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19) HTTP:URL=https://doi.org/10.1007/978-981-19-6142-7
件　名	LCSH:Artificial intelligence LCSH:Numerical analysis LCSH:Image processing—Digital techniques LCSH:Computer vision LCSH:Computer engineering LCSH:Computer networks LCSH:Social sciences—Data processing FREE:Artificial Intelligence FREE:Numerical Analysis FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Computer Engineering and Networks FREE:Computer Communication Networks FREE:Computer Application in Social and Behavioral Sciences
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00001960
ISBN	9789811961427