Intelligence Systems for Earth, Environmental and Planetary Sciences
Methods, Models and Applications
- 1st Edition - July 30, 2024
- Imprint: Elsevier
- Editors: Hossein Bonakdari, Silvio José Gumiere
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 2 9 3 - 3
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 2 9 2 - 6
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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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.
- 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
Graduate students and post-graduate professionals in the field of applied sciences, earth, environmental and planetary sciences
1. Smart techniques for Earth, environmental and planetary sciences
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
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
- Edition: 1
- Published: July 30, 2024
- Imprint: Elsevier
- Language: English
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.
Affiliations and expertise
Associate Professor, Department of Civil Engineering, University of Ottawa, Ontario, CanadaSG
Silvio José Gumiere
Prof. Silvio José Gumiere has been Professor at the Department of Soils and Agri-Food Engineering, Laval University, Canada, since 2011. He is an expert on the application of R-based numerical, statistical, and geostatistical methods, such as time series analyses, image and signal processing, erosion modeling, spatial hydrology, and spatial interpolation methods. His research has been published in international journals and conferences. He is an editor for several journals on hydrological modeling and machine learning techniques for solving applied science problems in hydrology, soil sciences, soil hydrology, and environmental journals.
Affiliations and expertise
Department of Soil Sciences, Laval University, Quebec City, CanadaRead Intelligence Systems for Earth, Environmental and Planetary Sciences on ScienceDirect