APPLIED ARTIFICIAL INTELLIGENCE FOR ENGINEERING

Overview Synopsis

Applied Artificial Intelligence for Engineering is a comprehensive guide that explores the practical applications of Artificial Intelligence (AI) across diverse engineering disciplines. The book bridges the gap between theoretical AI concepts and real-world engineering solutions by demonstrating how machine learning, deep learning, computer vision, natural language processing, robotics, and intelligent optimization techniques are transforming modern engineering systems.

Designed for undergraduate and postgraduate students, researchers, faculty members, and industry professionals, this book presents AI methodologies with practical case studies, algorithms, and implementation examples. It covers the integration of AI into civil, mechanical, electrical, electronics, aerospace, automotive, manufacturing, industrial, and environmental engineering, helping readers understand how intelligent technologies improve efficiency, reliability, safety, and sustainability.

The book also discusses emerging trends such as Industry 4.0, digital twins, autonomous systems, smart factories, predictive maintenance, edge AI, Internet of Things (IoT), explainable AI (XAI), and generative AI, preparing readers for the future of intelligent engineering.