Artificial Intelligence Technologies for Engineering Applications
Series: Artificial Intelligence for Sustainable Engineering and Management;
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62 107 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 21 January 2025
- ISBN 9781032765815
- Binding Hardback
- No. of pages344 pages
- Size 234x156 mm
- Weight 800 g
- Language English
- Illustrations 106 Illustrations, black & white; 34 Halftones, black & white; 72 Line drawings, black & white; 27 Tables, black & white 622
Categories
Short description:
The reference text will enable the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between artificial intelligence and industry.
MoreLong description:
This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between artificial intelligence and industry. This book discusses important topics such as algorithmic design, mathematical modeling, natural language processing, machine learning, and computer vision.
This book:
- Explores practical applications of artificial intelligence in engineering, including optimization, predictive modeling, decision?making, and control systems
- Provides real?world examples of the applications of artificial intelligence in engineering, drawing from a range of industries, including aerospace, automotive, and manufacturing
- Discusses technologies such as machine learning and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation
- Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation
- Presents artificial intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control
This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
MoreTable of Contents:
1. Navigating the Ethical Landscape of Artificial Intelligence: Challenges, Frameworks, and Responsible Deployment.
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