Intelligent 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 Otay
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| Autore: |
Kahraman Cengiz
|
| Titolo: |
Intelligent 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 Otay
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (1258 pages) |
| Disciplina: | 620.00285 |
| Soggetto topico: | Engineering - Data processing |
| Artificial intelligence | |
| Computational intelligence | |
| Data Engineering | |
| Artificial Intelligence | |
| Computational Intelligence | |
| Altri autori: |
CebiSelcuk
OztaysiBasar
Cevik OnarSezi
TolgaCagrı
Ucal SariIrem
OtayIrem
|
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Intelligent and Fuzzy Systems |
| ISBN: | 9783031985652 |
| 9783031985645 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911018747303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1530