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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

Medium: Buch
ISBN: 978-3-031-43077-0
Verlag: Springer Nature Switzerland
Erscheinungstermin: 02.10.2023
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9783031430770
  • Medium: Buch
  • ISBN: 978-3-031-43077-0
  • Verlag: Springer Nature Switzerland
  • Erscheinungstermin: 02.10.2023
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2023
  • Serie: Lecture Notes in Computer Science
  • Produktform: Kartoniert
  • Gewicht: 1036 g
  • Seiten: 669
  • Format (B x H x T): 155 x 235 x 38 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.