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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 II /

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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Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Rojas, Ignacio (Editor), Joya, Gonzalo (Editor), Catala, Andreu (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Izdaja:1st ed. 2023.
Serija:Lecture Notes in Computer Science, 14135
Teme:
Bioinformatics.
Computers.
Artificial intelligence.
Computer Networks.
Computer networks .
Computer systems.
Computational and Systems Biology.
Computing Milieux.
Artificial Intelligence.
Computer Communication Networks.
Computer System Implementation.
Online dostop:https://doi.org/10.1007/978-3-031-43078-7
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Opis
Izvleček: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 material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.
Fizični opis:1 online resource (XXIV, 669 p. 255 illus.). 239 illus. in color.
ISBN:9783031430787
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-43078-7

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