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. The 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 artificial intelligence applications 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.
It 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.
