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Intelligent and fuzzy systems = artificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent and fuzzy systems/ edited by Cengiz Kahraman ... [et al.].
Reminder of title:	artificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.
remainder title:	INFUS 2025 Conference
other author:	Kahraman, Cengiz.
corporate name:	International Conference on Intelligent and Fuzzy Systems
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xv, 820 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Deep Learning Assisted Optimization for End-effector Position and Orientation -- Multi Modal Deep Learning for Earthquake Damage Detection Integrating SAR and Optical Imagery -- AirQ ResUNet A Residual U Net Based Deep Learning Surrogate for High Resolution PM2.5 Prediction in Urban Environments -- Deep Learning Based Earthquake Prediction Magnitude and Depth Estimation Using ConvLSTM -- A Deep Learning Approach to Sentiment Classification Insights from Product Review Analysis.
Contained By:	Springer Nature eBook
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-97992-7
ISBN:	9783031979927

Intelligent and fuzzy systems = artificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.. Volume 2 /
Intelligent and fuzzy systemsartificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.Volume 2 /[electronic resource] :INFUS 2025 Conferenceedited by Cengiz Kahraman ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xv, 820 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,15292367-3389 ;. - Lecture notes in networks and systems ;1529..

Deep Learning Assisted Optimization for End-effector Position and Orientation -- Multi Modal Deep Learning for Earthquake Damage Detection Integrating SAR and Optical Imagery -- AirQ ResUNet A Residual U Net Based Deep Learning Surrogate for High Resolution PM2.5 Prediction in Urban Environments -- Deep Learning Based Earthquake Prediction Magnitude and Depth Estimation Using ConvLSTM -- A Deep Learning Approach to Sentiment Classification Insights from Product Review Analysis.

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: 9783031979927

Standard No.: 10.1007/978-3-031-97992-7doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

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

Dewey Class. No.: 006.312

Intelligent and fuzzy systems = artificial intelligence in human-centric, resilient and sustainable industries, proceedings of the INFUS 2025 Conference.. Volume 2 /
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