LEADER 04863nam 22007695 450 001 9910619275003321 005 20250626164006.0 010 $a9789811961427 010 $a9811961425 024 7 $a10.1007/978-981-19-6142-7 035 $a(MiAaPQ)EBC7120453 035 $a(Au-PeEL)EBL7120453 035 $a(CKB)25181596900041 035 $a(PPN)265856981 035 $a(DE-He213)978-981-19-6142-7 035 $a(EXLCZ)9925181596900041 100 $a20221020d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Computing for Advanced Applications $eThird International Conference, NCAA 2022, Jinan, China, July 8?10, 2022, Proceedings, Part I /$fedited by Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (566 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1637 311 08$aPrint version: Zhang, Haijun Neural Computing for Advanced Applications Singapore : Springer,c2022 9789811961410 320 $aIncludes bibliographical references and index. 327 $aTE-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. 330 $aThe two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8?10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and theirindustrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19). 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1637 606 $aArtificial intelligence 606 $aNumerical analysis 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aSocial sciences$xData processing 606 $aArtificial Intelligence 606 $aNumerical Analysis 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Engineering and Networks 606 $aComputer Communication Networks 606 $aComputer Application in Social and Behavioral Sciences 615 0$aArtificial intelligence. 615 0$aNumerical analysis. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aSocial sciences$xData processing. 615 14$aArtificial Intelligence. 615 24$aNumerical Analysis. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Engineering and Networks. 615 24$aComputer Communication Networks. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a006.3 702 $aZhang$b Haijun 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910619275003321 996 $aNeural Computing for Advanced Applications$91985003 997 $aUNINA