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{ "item_title" : "Water Engineering Modeling and Mathematic Tools", "item_author" : [" Pijush Samui", "Hossein Bonakdari", "Ravinesh Deo "], "item_description" : "Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/12/820/644/0128206446_b.jpg", "price_data" : { "retail_price" : "150.00", "online_price" : "150.00", "our_price" : "150.00", "club_price" : "150.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Water Engineering Modeling and Mathematic Tools|Pijush Samui

Water Engineering Modeling and Mathematic Tools

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Overview

Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering.

This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering.

This item is Non-Returnable

Details

  • ISBN-13: 9780128206447
  • ISBN-10: 0128206446
  • Publisher: Elsevier
  • Publish Date: February 2021
  • Dimensions: 9 x 6 x 1.2 inches
  • Shipping Weight: 1.72 pounds
  • Page Count: 590

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