LEADER 04125nam 22007455 450 001 9910865263403321 005 20240909110619.0 010 $a9783031611377 010 $a3031611373 024 7 $a10.1007/978-3-031-61137-7 035 $a(MiAaPQ)EBC31359060 035 $a(Au-PeEL)EBL31359060 035 $a(CKB)32200397700041 035 $a(DE-He213)978-3-031-61137-7 035 $a(OCoLC)1441725619 035 $a(EXLCZ)9932200397700041 100 $a20240530d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBioinspired Systems for Translational Applications: From Robotics to Social Engineering $e10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4?7, 2024, Proceedings, Part II /$fedited by José Manuel Ferrández Vicente, Mikel Val Calvo, Hojjat Adeli 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (553 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14675 311 08$a9783031611360 311 08$a3031611365 327 $aMachine 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. 330 $aThe two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhâo, Portugal, during June 4?7, 2024. The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows: Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture; Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14675 606 $aComputer science 606 $aComputer networks 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aSocial sciences$xData processing 606 $aTheory of Computation 606 $aComputer Communication Networks 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Application in Social and Behavioral Sciences 615 0$aComputer science. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aSocial sciences$xData processing. 615 14$aTheory of Computation. 615 24$aComputer Communication Networks. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a40,151 700 $aFerrández Vicente$b José Manuel$01740228 701 $aVal Calvo$b Mikel$01740229 701 $aAdeli$b Hojjat$0784299 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910865263403321 996 $aBioinspired Systems for Translational Applications: From Robotics to Social Engineering$94349602 997 $aUNINA