Artificial Intelligence Applications for Sustainable Construction 1st Edition

Capture the future of built environments with Artificial Intelligence Applications for Sustainable Construction 1st Edition, authored by Moncef L. Nehdi, Harish Chandra Arora, Krishna Kumar, Robertas Damaševičius, and Aman Kumar. This authoritative volume blends cutting-edge AI techniques with practical sustainable construction strategies to help professionals navigate today’s climate, regulatory, and economic challenges.

Explore how machine learning, deep learning, optimization algorithms, and predictive analytics are being applied to reduce carbon footprints, improve material efficiency, enhance structural resilience, and streamline project delivery. Rich with real-world examples and data-driven methodologies, the book translates complex AI concepts into actionable solutions for architects, civil engineers, contractors, urban planners, and sustainability managers.

Whether you’re working on green building certification, infrastructure rehabilitation, smart cities, or resource-efficient construction in North America, Europe, Asia, Africa, or the Middle East, this title offers globally relevant insights grounded in contemporary research. Learn to deploy AI for energy modeling, lifecycle assessment, predictive maintenance, risk mitigation, and supply-chain optimization—bridging academic rigor and field-ready practice.

Practical, forward-looking, and rigorously researched, this 1st edition positions readers to lead sustainable transformation in the construction sector. It’s an indispensable reference for graduate students, researchers, consultants, and decision-makers who want measurable environmental benefits and improved project outcomes through intelligent technology.

Add Artificial Intelligence Applications for Sustainable Construction 1st Edition to your professional library today and start applying AI-driven strategies that deliver greener, smarter, and more resilient construction projects worldwide.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.