Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques

Author:   Saeid Eslamian (Distinguished Full Professor, Disaster Relief: Resilient and Sustainable Water Resources, Isfahan University of Technology, Iran) ,  Faezeh Eslamian, Ph.D., CEP, (CEP, Project Manager at GHD, Quebec, Canada)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128212851


Pages:   478
Publication Date:   05 December 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques


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Author:   Saeid Eslamian (Distinguished Full Professor, Disaster Relief: Resilient and Sustainable Water Resources, Isfahan University of Technology, Iran) ,  Faezeh Eslamian, Ph.D., CEP, (CEP, Project Manager at GHD, Quebec, Canada)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Elsevier Science Publishing Co Inc
Weight:   0.450kg
ISBN:  

9780128212851


ISBN 10:   0128212853
Pages:   478
Publication Date:   05 December 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Ant-Colony Based Simulation–Optimization Modeling 2. Artificial Intelligent and Deep Learning 3. Artificial Neural Network 4. Bat Algorithm 5. Citizen Science 6. Conceptual Grey 7. Data Reduction Techniques 8. Data Science for Utilities and Urban Systems 9. Decision Tree Algorithm 10. Discrete Mixed Subdomain Least Squares 11. Earthen Worm Algorithm 12. Entropy and Resilience Indices 13. Evolutionary Based Meta-Modeling 14. Evolutionary Polynomial Regression Paradigm 15. Firefly Algorithm 16. Fish-Friendly Engineering (Fish Habitat Analysis) 17. Fuzzy Logic 18. Game Theory 19. Genetic Algorithm 20. Gene Expression Models 21. Heuristic Burst Detection Method 22. Honey-Bee Mating Optimization 23. Hybrid Cuckoo–Harmony Search Algorithm 24. Hybrid Mechanistic Data Driven Model 25. Imperialist Competitive Algorithm 26. Integrated Cellular Automata Evolution 27. Lattice Boltzmann Method 28. Meshless Particle Modeling 29. Multivariare Regressions 30. Ontology-Based Knowledge Management framework 31. Random Forest 32. Relevance Vector Machine 33. Rhie and Chow Interpolation 34. Supporting Vector Machine

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Author Information

Saeid Eslamian received his PhD in Civil and Environmental Engineering from University of New South Wales, Australia in 1998. Saeid was Visiting Professor in Princeton University and ETH Zurich in 2005 and 2008 respectively. He has contributed to more than 1K publications in journals, conferences, books. Eslamian has been appointed as 2-Percent Top Researcher by Stanford University for several years. Currently, he is full professor of Hydrology and Water Resources and Director of Excellence Center in Risk Management and Natural Hazards. Isfahan University of Technology, His scientific interests are Floods, Droughts, Water Reuse, Climate Change Adaptation, Sustainability and Resilience Faezeh Eslamian is a PhD holder of bioresource engineering from McGill University. Her research focuses on the development of a novel lime-based product to mitigate phosphorus loss from agricultural fields. Faezeh completed her bachelor’s and master’s degrees in civil and environmental engineering from Isfahan University of Technology, Iran, where she evaluated natural and low-cost absorb bents for the removal of pollutants such as textile dyes and heavy metals. Furthermore, she has conducted research on the worldwide water quality standards and wastewater reuse guidelines. Faezeh is an experienced multidisciplinary researcher with research interests in soil and water quality, environmental remediation, water reuse, and drought management.

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