Applications of Artificial Intelligence in Mining and Geotechnical Engineering 1st Edition

Grab your copy of Applications of Artificial Intelligence in Mining and Geotechnical Engineering, 1st Edition — a timely, practical guide from Hoang Nguyen, Xuan Nam Bui, Yosoon Choi, Wengang Zhang, Jian Zhou, and Erkan Topal that bridges cutting‑edge AI with real‑world resource engineering.

Discover how machine learning, deep learning, and data‑driven modelling are transforming mining and geotechnical practice worldwide. This authoritative volume distills advanced algorithms into actionable strategies for slope stability assessment, subsidence prediction, ground‑control optimization, predictive maintenance, and exploration targeting. Clear explanations of techniques—supervised and unsupervised learning, neural networks, ensemble methods—are paired with application-focused examples that speak to engineers, researchers, and industry leaders alike.

Whether you work in open‑pit copper operations in Chile, underground coal projects in Australia, or site characterization in Canada and South Africa, this book equips you to reduce risk, improve safety, and increase operational efficiency. Practical insights on data preparation, feature selection, model validation, and deployment help translate research into on‑site value. Critical discussions on uncertainty, ethical AI use, and integration with geotechnical instrumentation make it essential reading for modern practitioners.

If you want to lead the next wave of innovation in mining and geotechnical engineering, this volume provides the roadmap. Concise, technically rigorous, and accessible, it’s ideal for professionals, postgraduate students, and decision‑makers seeking reliable, implementable AI solutions.

Order Applications of Artificial Intelligence in Mining and Geotechnical Engineering, 1st Edition today and put data‑driven intelligence at the heart of your projects.

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