Description
Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the twenty-first century, reshaping the way engineering problems are analyzed, designed, and solved. From intelligent manufacturing and predictive maintenance to smart infrastructure, autonomous systems, and sustainable energy management, AI is increasingly integrated into every branch of engineering. The convergence of machine learning, deep learning, computer vision, natural language processing, and data analytics with traditional engineering disciplines has opened new opportunities for innovation, efficiency, and decision-making. As industries move toward digital transformation and Industry 4.0, engineers must possess a strong understanding of AI concepts and their practical applications to address complex real-world challenges.
This book, *Artificial Intelligence in Modern Engineering*, is intended to provide students, researchers, academicians, and industry professionals with a comprehensive understanding of AI-driven engineering solutions. It presents fundamental AI concepts alongside contemporary applications across civil, mechanical, electrical, electronics, computer, and industrial engineering domains. Through a blend of theoretical foundations, practical methodologies, case studies, and emerging trends, the book highlights how AI is revolutionizing engineering practices and shaping the future of technology. We hope this book serves as a valuable resource that inspires readers to explore innovative AI-enabled approaches for advancing engineering research, development, and sustainable technological progress.
