9789815324051 - ai-driven computational engineering for sustainable development von gupta, subir (3 Ergebnisse)
- Softcover
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 90,98
Versand gratisVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 85,42
EUR 5,84 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 122,45
EUR 30,50 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - AI-Driven Computational Engineering for Sustainable Development explores the convergence of Artificial Intelligence (AI), Natural Language Processing (NLP), and computational engineering in shaping the transition toward Industry 5.0. The book focuses on human-centric, sustainable, and data-dr…iven approaches that enhance collaboration between humans and machines while improving productivity and environmental outcomes. It begins by outlining the evolution from Industry 4.0 to Industry 5.0, followed by core concepts in AI, NLP, and computational engineering. The chapters then examine real-world applications in smart manufacturing, intelligent automation, and sustainable industrial systems. The book also addresses key challenges such as data management, ethics, system integration, and the need for resilient technological frameworks, offering insights into future research and innovation directions. Key Features: -Covers AI, NLP, and computational engineering applications in Industry 5.0-Focuses on sustainable, human-centric, and data-driven industrial systems-Real-world applications and cases in smart manufacturing and intelligent automation-Discusses emerging research trends and future technological directions-Insights into challenges such as data governance, ethics, and system integration.
