Intelligence Systems for Earth, Environmental and Planetary Sciences: Methods, Models and Applications
Editat de Hossein Bonakdari, Silvio José Gumiereen Limba Engleză Paperback – 9 aug 2024
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
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Specificații
ISBN-13: 9780443132933
ISBN-10: 0443132933
Pagini: 290
Dimensiuni: 152 x 229 x 29 mm
Greutate: 0.73 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443132933
Pagini: 290
Dimensiuni: 152 x 229 x 29 mm
Greutate: 0.73 kg
Editura: ELSEVIER SCIENCE
Cuprins
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