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Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 June 3, 2022, Proceedings, Part I 1st ed. 2022 [Pehme köide]

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  • Formaat: Paperback / softback, 651 pages, kõrgus x laius: 235x155 mm, kaal: 1027 g, 219 Illustrations, color; 30 Illustrations, black and white; XXVIII, 651 p. 249 illus., 219 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 13258
  • Ilmumisaeg: 19-May-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031062418
  • ISBN-13: 9783031062414
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Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications: 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 June 3, 2022, Proceedings, Part I 1st ed. 2022Suurem pilt
  • Formaat: Paperback / softback, 651 pages, kõrgus x laius: 235x155 mm, kaal: 1027 g, 219 Illustrations, color; 30 Illustrations, black and white; XXVIII, 651 p. 249 illus., 219 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 13258
  • Ilmumisaeg: 19-May-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031062418
  • ISBN-13: 9783031062414
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031062414.html
Märksõnad:
The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May June 2022.





The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings:





 





Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications,





Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.