04059nam a22005775i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001700172072001600189072002300205072001500228245033800243250001800581264006900599300006800668336002600736337002600762338003600788347002400824490005900848505040200907520107101309650002902380650003202409650003602441650004902477650002102526650004502547650003402592650004402626650003602670650007102706650006702777700010402844700008602948700015003034710003403184773002603218776003603244776003603280830005903316856004603375912001403421912001503435912001403450999001703464978-3-031-61140-7DE-He21320251030112243.0cr nn 008mamaa240530s2024    sz |    s    |||| 0|eng d  a97830316114079978-3-031-61140-77 a10.1007/978-3-031-61140-72doi 4aQA75.5-76.95 7aUYA2bicssc 7aCOM0140002bisacsh 7aUYA2thema10aArtificial Intelligence for Neuroscience and Emotional Systemsh[electronic resource] :b10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4–7, 2024, Proceedings, Part I /cedited by José Manuel Ferrández Vicente, Mikel Val Calvo, Hojjat Adeli.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXXIX, 543 p. 188 illus., 169 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Computer Science,x1611-3349 ;v146740 aMachine 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.  aThe 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 Olhâo, Portugal, during June 4–7, 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. 0aComputer science.958552 0aComputer networks .960157 0aArtificial intelligence.958441 0aImage processingxDigital techniques.964228 0aComputer vision. 0aSocial sciencesxData processing.96574114aTheory of Computation.96755224aComputer Communication Networks.96568924aArtificial Intelligence.95844124aComputer Imaging, Vision, Pattern Recognition and Graphics.96555024aComputer Application in Social and Behavioral Sciences.9657431 aFerrández Vicente, José Manuel.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9778521 aVal Calvo, Mikel.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9778531 aAdeli, Hojjat.eeditor.0(orcid)0000-0001-5718-14531https://orcid.org/0000-0001-5718-14534edt4http://id.loc.gov/vocabulary/relators/edt9707692 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303161139108iPrinted edition:z9783031611414 0aLecture Notes in Computer Science,x1611-3349 ;v1467440uhttps://doi.org/10.1007/978-3-031-61140-7  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNC  c60298d60298