Foreword
In an era where technology and artificial intelligence (AI) are rapidly reshaping scientific disciplines, the fields of the Earth and environmental sciences, and geotechnical engineering are experiencing unprecedented advancements. This book, Advanced Technologies and Artificial Intelligence in the Earth and Environmental Sciences, marks the inaugural volume in the series Advances in the Earth, Mining and Environmental Sciences for Safe and Sustainable Development. It features a selection of high-quality research papers presented at the GeoAI2024 International Conference.
This publication represents the collaborative efforts of VNU University of Science, Vietnam National University, Hanoi, the Interdisciplinary Professor Council of the Earth and Mining Sciences, and a broad network of esteemed institutions and organizations, including the Vietnam Union of Geological Sciences, Vietnam Association of Engineering Geology and Environment, Institute of Geological Sciences - Vietnam Academy of Science and Technology, Norwegian Geotechnical Institute, Vietnam Atomic Energy Institute, Hanoi University of Mining and Geology, and Dong Nai Technology University.
The support and cooperation of these institutions have been instrumental in bringing this volume to fruition.
This book represents a focused exploration of the transformative role of technology and AI in addressing critical challenges in sustainability and environmental resilience. The content is organized into three thematic sections: Part 1: Earth Technology and Geotechnical Engineering This section explores innovative methods for addressing geotechnical and geological challenges with a focus on sustainability, resilience, and safety. The studies of this part demonstrate how modern technologies and engineering can advance infrastructural development while minimizing environmental risks.
Part 2: Environment and Recycled Materials This section addresses environmental challenges through creative approaches, including pollution control, resource recovery, and sustainable materials. The research in this part highlights innovative ways to restore and protect the environment, contributing to a more sustainable future.
Part 3: Digital Transformation and GeoAI The final section demonstrates the transformative power of AI, machine learning, and digital technologies in the Earth and environmental sciences. Contributions cover a wide spectrum of applications, including IoT-based environmental monitoring and AI-assisted disaster detection. This section exemplifies the role of GeoAI in reshaping our understanding of natural processes and improving decision-making for sustainable development.
We express our sincere gratitude to the authors, researchers, and practitioners whose works have shaped this volume. Special thanks go to the GeoAI2024 International Conference, which provided a vibrant platform for collaboration, innovation, and knowledge exchange. The collective efforts of contributors and organizers have ensured that this book captures the forefront of technological innovation in the Earth and environmental sciences.
This volume aims to inspire researchers, practitioners, and policymakers, encouraging them to explore and implement advanced technologies and AI in tackling some of the most pressing challenges of our time. As the inaugural volume in the book series, it sets the stage for future explorations into the intersections of the Earth and environmental sciences.
We hope the insights shared in this book will contribute to advancing global efforts toward safe and sustainable development.
Editorial Board