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Herausgeber: 
  • Haijun Zhang
  • Zhao Zhang
  • Weizhi Meng
  • Tianyong Hao
  • Zhou Wu
  • Yinggen Ke
  • Yuanyuan Mu
  • International Conference on Neural Computing for Advanced Applications: 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceed 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  August 2023  
    Genre:  EDV / Informatik 
     
    ArtificialIntelligence / communicationsystems / Computerhardware / computersecurity / Computervision / datamining / DeepLearning / Digital- und Informationstechnologien# allgemeine Themen
    ISBN:  9789819958467 
    EAN-Code: 
    9789819958467 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 35 mm 
    Gewicht:  955 gr 
    Seiten:  640 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The two-volume set CCIS 1869 and 1870 constitutes the refereed proceedings of the 4th International Conference on Neural Computing for Advanced Applications, NCAA 2023, held in Hefei, China, in July 2023.
    The 83 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers have been organized in the following topical sections: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Machine learning and deep learning for data mining and data-driven applications; Computational intelligence, nature-inspired optimizers, and their engineering applications; Deep learning-driven pattern recognition, computer vision and its industrial applications; Natural language processing, knowledge graphs, recommender systems, and their applications; Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security; Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2); Applications of Data Mining, Machine Learning and Neural Computing in Language Studies; Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications; and Other Neural computing-related topics.

      



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