Intelligence Systems for Earth, Environmental and Planetary Sciences
Methods, Models and Applications
- 1st Edition - July 30, 2024
- Latest edition
- Editors: Hossein Bonakdari, Silvio José Gumiere
- Language: English
Intelligence Systems for Earth, Environmental and Planetary Sciences: Methods, Models and Applications provides cutting-edge theory and applications of modern-day artificia… Read more
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Description
Description
Intelligence Systems for Earth, Environmental and Planetary Sciences: Methods, Models and Applications provides cutting-edge theory and applications of modern-day artificial intelligence and data science in the Earth, environment, and planetary science fields. The book is divided into three sections: (i) Methods, covering the fundamentals of intelligence systems, along with an introduction to the preparation of datasets; (ii) Models, detailing model development, data assimilation, and techniques in each field; and (iii) Applications, presenting case studies of artificial intelligence and data science solutions to Earth, environmental, and planetary sciences problems, as well as future perspectives.
Intelligence Systems for Earth, Environmental and Planetary Sciences will be of interest to students, academics, and postgraduate professionals in the field of applied sciences, Earth, environmental, and planetary sciences and would also serve as an excellent companion resource to courses studying artificial intelligence applications for theoretical and practical studies in Earth, environmental, and planetary sciences.
Key features
Key features
- Facilitates the application of artificial intelligence and data science systems to create comprehensive methodologies for analyzing, processing, predicting, and management strategies in the fields of Earth, environment, and planetary science
- Developed with an interdisciplinary framework, with an aim to promote artificial intelligence models for real-time Earth systems
- Includes a section on case studies of artificial intelligence and data science solutions to Earth, environmental, and planetary sciences problems, as well as future perspectives
Readership
Readership
Table of contents
Table of contents
2. Data preparation processes
3. Meta-heuristic algorithms for Earth, environmental and planetary sciences
4. Standard to Advanced version of meta-heuristic algorithms
5. The application of machine learning and evolutionary computational techniques
6. Case studies of applications of evolutionary computational techniques
7. Future applications
Product details
Product details
- Edition: 1
- Latest edition
- Published: August 9, 2024
- Language: English
About the editors
About the editors
HB
Hossein Bonakdari
Dr. Hossein Bonakdari is a distinguished professor in the Department of Civil Engineering at the University of Ottawa, specializing in mathematical modeling and artificial intelligence (AI). A leading expert in AI-driven data analysis, he has pioneered advanced algorithms for real-time forecasting and big data interpretation, significantly improving the understanding and management of environmental systems.
Dr. Bonakdari has authored four books, published over 320 peer-reviewed journal articles, contributed to more than 20 book chapters, and delivered over 100 presentations at national and international conferences. As a respected editorial board member of several leading journals, he continues to shape research in his field. His groundbreaking contributions have earned him global recognition, ranking him among the top 2% of the world's scientists from 2019 to 2024.
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