04356nam 22006495 450 991101874730332120250726130248.09783031985652(electronic bk.)978303198564510.1007/978-3-031-98565-2(MiAaPQ)EBC32246647(Au-PeEL)EBL32246647(CKB)39723006300041(DE-He213)978-3-031-98565-2(OCoLC)1531326878(EXLCZ)993972300630004120250726d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent and Fuzzy Systems Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference, Volume 3 /edited by Cengiz Kahraman, Selcuk Cebi, Basar Oztaysi, Sezi Cevik Onar, Cagrı Tolga, Irem Ucal Sari, Irem Otay1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (1258 pages)Lecture Notes in Networks and Systems,2367-3389 ;1530Print version: Kahraman, Cengiz Intelligent and Fuzzy Systems Cham : Springer,c2025 9783031985645 A Fuzzy Cognitive Mapping Approach for Prioritizing Electric Vehicle Preference Criteria -- Identifying Potential Locations for Electric Vehicle Charging Stations at Petrol Stations A Case Study of The Most Populated Districts in Istanbul -- Performance Evaluation of Fuzzy Logic Based Energy Management Systems in Micro grids with Electric Vehicle Integration -- Evaluation of Electric Vehicle Sales Forecast from Sustainability Perspective Using Time Series Analysis -- Artificial Intelligence Based Fast Charging Method for Battery Management Systems -- Prioritizing Electric Vehicle Charging Infrastructure Goals from a Multi Stakeholder Perspective An Intuitionistic Fuzzy MACTOR Approach -- Block chain Technology in Electric Vehicle Ecosystems A Literature Review -- A Type3 Fuzzy Fractal for Heart Sound Classification -- Intelligent Music Genre Classification Using Acoustic Features via Machine Learning and Deep Learning Methods.Artificial 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.Lecture Notes in Networks and Systems,2367-3389 ;1530EngineeringData processingArtificial intelligenceComputational intelligenceData EngineeringArtificial IntelligenceComputational IntelligenceEngineeringData processing.Artificial intelligence.Computational intelligence.Data Engineering.Artificial Intelligence.Computational Intelligence.620.00285Kahraman Cengiz738471Cebi Selcuk1770568Oztaysi Basar1044416Cevik Onar Sezi1770567Tolga Cagrı1836648Ucal Sari Irem1836649Otay Irem1836650MiAaPQMiAaPQMiAaPQ9911018747303321Intelligent and Fuzzy Systems4414844UNINA