Kahraman / Cebi / Oztaysi Intelligent and Fuzzy Systems

Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference, Volume 3
Erscheinungsjahr 2025
ISBN: 978-3-031-98565-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 840 Seiten

Reihe: Lecture Notes in Networks and Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Kahraman, Cengiz

Cebi, Selcuk

Oztaysi, Basar

Cevik Onar, Sezi

Tolga, Cagri

Ucal Sari, Irem

Otay, Irem

Inhaltsverzeichnis

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.