Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Februar 2026
Genre:	EDV / Informatik
	Artificial Intelligence / Artificial intelligence and expert systems / Big data analytics and Data mining / Computernetzwerke und maschinelle Kommunikation / Data Science / Database Management System / Datenbanken / decision support systems / Digital twin and virtual commissioning / Fintech and algorithmic finance / Industry 4.0, IoT and smart manufacturing / Internet of things / machine learning / machine learning algorithms / Maschinelles Lernen / Metaheuristic algorithms with applications in IE / Optimization and Data Science based Case studies / Quantitative finance and risk modelling / Robotic Process Automation / Supply chain design and logistics / Sustainable and smart cities mehr...
ISBN:	9783032170224
EAN-Code:	9783032170224
Verlag:	Springer International Publishing
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	697
Illustration:	XXIV, 697 p. 198 illus., 177 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This three-volume set CCIS 2854-2856 constitutes the refereed proceedings of the Third International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2025, held in Istanbul, Turkey, during November 20–22, 2025. The 94 full papers and 10 short papers included in this book were carefully reviewed and selected from 198 submissions. They are organized into the following topical sections: Part I: AI-Driven Innovations for Precision Medicine and Healthcare Optimization; Intelligent Optimization and Autonomous System Design through AI and Digital Technologies; AI and Policy-Based Cybersecurity Approaches for Urban Digital Infrastructure; Computational Intelligence and Data-Driven Strategies for Sustainable and Resilient Urban Systems; and Ethical and Legal Dimensions of Digital Governance in Modern Organizations. Part II: Computational Governance and Ethical Intelligence in Global Corporate Systems; and Intelligent Optimization and Autonomous System Design through AI and Digital Technologies. Part III: Data Analytics and AI for Cross-Sector Innovation and Global Development; and AI and Data-Driven Approaches for Sustainable Agriculture, Water Resources, and Food Systems.