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Artificial Intelligence for Neuroscience and Emotional Systems: 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhāo, Portugal, June 47, 2024, Proceedings, Part I 2024 ed. [Mīkstie vāki]

  • Formāts: Paperback / softback, 543 pages, height x width: 235x155 mm, 169 Illustrations, color; 19 Illustrations, black and white; XXIX, 543 p. 188 illus., 169 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14674
  • Izdošanas datums: 31-May-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303161139X
  • ISBN-13: 9783031611391
  • Mīkstie vāki
  • Cena: 82,61 €*
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  • Formāts: Paperback / softback, 543 pages, height x width: 235x155 mm, 169 Illustrations, color; 19 Illustrations, black and white; XXIX, 543 p. 188 illus., 169 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14674
  • Izdošanas datums: 31-May-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303161139X
  • ISBN-13: 9783031611391
The two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhāo, Portugal, during June 47, 2024.





The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows:





Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture;





Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications.

Machine learning in neuroscience.- artificial intelligence in neurophysiology.- neuromotor and cognitive disorders.- intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias.- socio-cognitive, affective and physiological computing.- affective computing and context awareness in ambientintelliigence.- learning tools to lecture.