Intelligent and Fuzzy Systems : Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference, Volume 2 / / edited by Cengiz Kahraman, Selcuk Cebi, Basar Oztaysi, Sezi Cevik Onar, Cagrı Tolga, Irem Ucal Sari, Irem Otay

• Autore: Kahraman Cengiz
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (1257 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Engineering - Data processing; Artificial intelligence; Computational Intelligence; Data Engineering; Artificial Intelligence
• Altri autori: CebiSelcuk OztaysiBasar Cevik OnarSezi TolgaCagrı Ucal SariIrem OtayIrem
• Nota di contenuto: 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.
• 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: 9783031979927; 9783031979910
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911018654903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1529