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Applied Artificial Intelligence for Engineering Applications - (Paperback) - 1 of 1

Applied Artificial Intelligence for Engineering Applications - (Paperback)

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Highlights

  • 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.
  • Author(s): Tarek Saadawi & Roshan Raman & Sharda Vashisth & Pooja Sabherwal & Aman Garg & Saurabh Sachdeva
  • 350 Pages
  • Technology, Engineering (General)

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Book Synopsis



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.

In addition, the computational tools and software used for each of these approaches are covered, as are AI-driven innovations in electronics design and manufacturing and 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.

Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W)
Weight: .99 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 350
Genre: Technology
Sub-Genre: Engineering (General)
Publisher: Elsevier
Format: Paperback
Author: Tarek Saadawi & Roshan Raman & Sharda Vashisth & Pooja Sabherwal & Aman Garg & Saurabh Sachdeva
Language: English
Street Date: May 1, 2026
TCIN: 1007867015
UPC: 9780443443381
Item Number (DPCI): 247-43-4423
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.99 pounds
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