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Advances in Computational Intelligence 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I /

This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully review...

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Autor corporatiu: SpringerLink (Online service)
Altres autors: Rojas, Ignacio (Editor), Joya, Gonzalo (Editor), Catala, Andreu (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edició:1st ed. 2023.
Col·lecció:Lecture Notes in Computer Science, 14134
Matèries:
Artificial intelligence.
Bioinformatics.
Computers.
Computer Networks.
Computer networks .
Computer systems.
Artificial Intelligence.
Computational and Systems Biology.
Computing Milieux.
Computer Communication Networks.
Computer System Implementation.
Accés en línia:https://doi.org/10.1007/978-3-031-43085-5
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Sumari:This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and materialcharacterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms. .
Descripció física:XXIV, 707 p. 301 illus., 244 illus. in color. online resource.
ISBN:9783031430855
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-43085-5

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