ONLY $9.90 DELIVERY INFO

Close Notification

Your cart does not contain any items

Intelligent and Fuzzy Systems

Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings...

Cengiz Kahraman Selcuk Cebi Basar Oztaysi Sezi Cevik Onar

$534.95   $428.18

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
Springer International Publishing AG
28 July 2025
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.
Edited by:   , , , ,
Imprint:   Springer International Publishing AG
Country of Publication:   Switzerland
Volume:   1531
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783031983030
ISBN 10:   3031983033
Series:   Lecture Notes in Networks and Systems
Pages:   835
Publication Date:  
Audience:   Professional and scholarly ,  College/higher education ,  Undergraduate ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active
Advanced Model Predictive Control Optimization for Automotive Dynamics.- Online Tuning Mechanism for Single Input Interval Type 2 Fuzzy PID Controller.- A Fuzzy Logic Approach to Power and SOC Management in NextGeneration eVTOL Aircraft Batteries.- Optimal Design of Type3 Fuzzy Controllers with Fuzzy Lyapunov Stability.- Regularity of Fermatean Quadripartitioned Neutrosophic Fuzzy Graph.

See Also