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Intelligent and fuzzy systems = arti...

International Conference on Intelligent and Fuzzy Systems (2025 :)

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Intelligent and fuzzy systems = artificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.. Volume 3 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent and fuzzy systems/ edited by Cengiz Kahraman ... [et al.].
其他題名:	artificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.
其他題名:	INFUS 2025 Conference
其他作者:	Kahraman, Cengiz.
團體作者:	International Conference on Intelligent and Fuzzy Systems
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xvi, 840 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Data mining - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-98565-2
ISBN:	9783031985652

Intelligent and fuzzy systems = artificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.. Volume 3 /
Intelligent and fuzzy systemsartificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.Volume 3 /[electronic resource] :INFUS 2025 Conferenceedited by Cengiz Kahraman ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xvi, 840 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,15302367-3389 ;. - Lecture notes in networks and systems ;1530..

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.

ISBN: 9783031985652

Standard No.: 10.1007/978-3-031-98565-2doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343 / I58 2025

Dewey Class. No.: 006.312

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