
This unique book stands out by seamlessly connecting powerful AI methodologies with their real-world engineering applications across a wide range of core disciplines, including civil, mechanical, electrical, chemical, aeronautical, industrial, and biotechnology engineering. Designed with a strongly intuitive and application-centric philosophy, it demystifies complex AI concepts, making them readily understandable to engineers and professionals without formal training in computer science. Each chapter is thoughtfully structured around a key AI paradigm and enriched with a comprehensive mapping of its interdisciplinary applications, supported by up-to-date scholarly references. Realistic case studies, well-worked numerical examples, and clear conceptual diagrams are woven throughout the text to strengthen understanding and enable immediate practical adoption. Functioning both as a reliable academic text and a hands-on professional guide, this book encourages interdisciplinary collaboration, drives innovation, and emphasizes the ethically responsible use of AI in contemporary engineering practice.
KEY FEATURES
• Provides a unique bridge between AI methodologies and their tangible, real-world applications across the full spectrum of core engineering disciplines.
• Adopts a rigorously intuitive and application-oriented methodology, ensuring that complex AI paradigms remain accessible to engineers and professionals without a formal computer science background.
• Organizes each chapter around a core AI paradigm, complemented by an extensive mapping of its cross-disciplinary applications.
• Integrates authentic case studies, numerical illustrations, conceptual diagrams, and practice exercises covering all core branch applications.
TARGET AUDIENCE
B.E. / B.Tech (Civil, Mechanical, Electrical, Chemical, Aeronautical, Industrial, and Biotechnology Engineering.)
