LEADER 03894nam 22006495 450 001 9911018654903321 005 20250726130234.0 010 $a9783031979927$b(electronic bk.) 010 $z9783031979910 024 7 $a10.1007/978-3-031-97992-7 035 $a(MiAaPQ)EBC32235822 035 $a(Au-PeEL)EBL32235822 035 $a(CKB)39719254200041 035 $a(DE-He213)978-3-031-97992-7 035 $a(OCoLC)1544972049 035 $a(EXLCZ)9939719254200041 100 $a20250726d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent and Fuzzy Systems $eArtificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference, Volume 2 /$fedited by Cengiz Kahraman, Selcuk Cebi, Basar Oztaysi, Sezi Cevik Onar, Cagr? Tolga, Irem Ucal Sari, Irem Otay 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (1257 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1529 311 08$aPrint version: Kahraman, Cengiz Intelligent and Fuzzy Systems Cham : Springer,c2025 9783031979910 327 $aDeep Learning Assisted Optimization for End-effector Position and Orientation -- Multi Modal Deep Learning for Earthquake Damage Detection Integrating SAR and Optical Imagery -- AirQ ResUNet A Residual U Net Based Deep Learning Surrogate for High Resolution PM2.5 Prediction in Urban Environments -- Deep Learning Based Earthquake Prediction Magnitude and Depth Estimation Using ConvLSTM -- A Deep Learning Approach to Sentiment Classification Insights from Product Review Analysis. 330 $aArtificial Intelligence in Human-Centric, Resilient & Sustainable Industries This book focuses on benefiting artificial intelligent tools in our business and social life under emerging conditions. Human-centric, resilient, and sustainable industries are built on ideals like human-centricity, ecological advantages, or social benefits. The mission of human-centric artificial intelligence is to improve people?s lives by offering solutions that boost productivity, accessibility to resources, security, well-being, and general quality of life. The latest intelligent methods and techniques on human-centric, resilient, and sustainable industries are introduced by theory and applications. This book covers the chapters of world-wide known experts on machine learning, medical image processing, process intelligence, process mining, and others. The intended readers are intelligent systems researchers, lecturers, M.Sc. and Ph.D. students trying to develop approaches giving human needs, values, and viewpoints top priority through artificial intelligent systems. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1529 606 $aComputational intelligence 606 $aEngineering$xData processing 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aData Engineering 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aEngineering$xData processing. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aKahraman$b Cengiz$0738471 701 $aCebi$b Selcuk$01770568 701 $aOztaysi$b Basar$01044416 701 $aCevik Onar$b Sezi$01770567 701 $aTolga$b Cagr?$01836648 701 $aUcal Sari$b Irem$01836649 701 $aOtay$b Irem$01836650 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911018654903321 996 $aIntelligent and Fuzzy Systems$94414844 997 $aUNINA