Kniha Applied Artificial Intelligence for Engineering Applications Tarek Saadawi

Applied Artificial Intelligence for Engineering Applications

Empowering Transformative Innovations in Multidisciplinary Engineering

Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Elsevier Science
Dostupnosť: Očakávaná novinka
Vydanie 20. 11. 2026
187.66
Applied Artificial Intelligence for Engineering Applications: Empowering Transformative Innovations...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2026
Stránok
350
EAN
9780443443381
ISBN
0443443386
Enbook ID
49798229
Vydavateľ
Hmotnosť
450
Rozmery
152 x 229

Kompletný popis

Applied Artificial Intelligence for Engineering Applications: Empowering Transformative Innovations in Multidisciplinary Engineering offers an integrated view of AI’s transformative potential in multidisciplinary engineering, bridging the gap between AI advances and their applications in various engineering disciplines, including civil, mechanical, electrical, chemical, and robotics. The book starts with an introduction to the field, providing an overview of AI technologies and their relevance to engineering, discussing different AI approaches such as machine learning, reinforcement learning, neural networks, and natural language processing. Computational tools and software used for each of these approaches are covered, as are AI-driven innovations in electronics design and manufacturing as well as the role of AI in the development of advanced sensors and IoT devices. Chapters then cover the deployment of AI in specific engineering disciplines, outlining its use in civil engineering, mechanical engineering, production engineering, and chemical engineering. The use of AI as a solution for energy efficiency and management and renewable energy integration is also discussed.

  • Discusses the intersection of AI and multidisciplinary engineering, integrating insights from various engineering disciplines, and providing practical examples of AI applications
  • Provides practical frameworks, methodologies, and tools that can be utilized to implement AI-driven solutions
  • Presents real-world case studies from various engineering fields, highlighting successful AI implementations and the outcomes achieved

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