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Artificial Intelligence In Civil Engineering

Bridging Bytes and Beams for a Smarter, Sustainable Future

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Artificial Intelligence In Civil Engineering

By: Ajit Singh
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This book, "Artificial Intelligence in Civil Engineering," is born out of the pressing need to equip the next generation of civil engineers—and indeed, practicing professionals—with the knowledge and skills to navigate and lead this transformation.


"Artificial Intelligence in Civil Engineering: Bridging Bytes and Beams for a Smarter, Sustainable Future" is a comprehensive textbook designed to introduce undergraduate (B.Tech) and postgraduate (M.Tech) students, as well as practicing civil engineers and researchers, to the transformative potential of Artificial Intelligence (AI) in the domain of civil engineering. In an era where data is ubiquitous and computational power is rapidly advancing, AI offers unprecedented opportunities to address complex challenges, optimize designs, enhance efficiency, and build more resilient and sustainable infrastructure.


Key Features:

1. NEP 2020 & AICTE Compliant: The pedagogical approach promotes holistic understanding, skill development, outcome-based learning, and preparedness for industry 4.0.
2. Comprehensive Coverage: The book systematically covers AI fundamentals and their applications across diverse sub-disciplines of civil engineering, including structural, geotechnical, transportation, water resources, environmental, and construction engineering and management.
3. Practical Focus: Abundant real-world case studies, illustrative examples, and discussions on practical implementation challenges bridge the gap between theory and practice.
4. Latest Content: Incorporates recent developments in AI, such as deep learning, computer vision, and their novel applications in areas like smart cities, digital twins, and sustainable infrastructure.
5. Skill Enhancement: Aims to empower readers with the ability to identify problems amenable to AI solutions, select appropriate AI techniques, and understand the lifecycle of an AI project in a civil engineering context. Pointers to popular AI tools and libraries are included.
6. Global Perspective: While rooted in the Indian educational context, the content and examples are drawn from global practices, making it relevant for students and professionals internationally.
7. Ethical and Future-Oriented: Dedicated discussions on ethical considerations, challenges in AI adoption, and future trends ensure a well-rounded understanding of AI's role.
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