Synopsis
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-driven 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
"synopsis" may belong to another edition of this title.
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AI-Driven Computational Engineering for Sustainable Development
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AI-Driven Computational Engineering for Sustainable Development
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Bentham Science Publishers, 2026
ISBN 10: 9815324055
ISBN 13: 9789815324051
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AI-Driven Computational Engineering for Sustainable Development (Paperback)
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Bentham Science Publishers Singapore Pte. Ltd., 2026
ISBN 10: 9815324055
ISBN 13: 9789815324051
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Paperback. Condition: new. Paperback. 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-driven 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 This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789815324051
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AI-Driven Computational Engineering for Sustainable Development
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Independently Published Mai 2026, 2026
ISBN 10: 9815324055
ISBN 13: 9789815324051
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Taschenbuch. Condition: 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-driven 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. Seller Inventory # 9789815324051