Optimization and Data Science in Industrial Engineering, Kartoniert / Broschiert
Optimization and Data Science in Industrial Engineering
- Third International Conference, ODSIE 2025, Istanbul, Turkey, November 20-22, 2025, Proceedings, Part II
- Publisher:
- Zohreh Molamohamadi, Erfan Babaee Tirkolaee, A. Mirzazadeh, Gerhard-Wilhelm Weber
- Publisher:
- Springer, 02/2026
- Binding:
- Kartoniert / Broschiert
- Language:
- Englisch
- ISBN-13:
- 9783032170224
- Item number:
- 12653456
- Volume:
- 724 Pages
- Weight:
- 1077 g
- Format:
- 235 x 155 mm
- Thickness:
- 39 mm
- Release date:
- 22.2.2026
- Series:
- Communications in Computer and Information Science - volume 2855
- Note
-
Caution: Product is not in German language
Other releases of Optimization and Data Science in Industrial Engineering |
Price |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 98.56* |
| Buch, Kartoniert / Broschiert, Englisch | EUR 98.56* |
Blurb
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.
