Mathematical Computing and Sustainability : Predictive Modeling and Ramifications of Intelligent Systems

Bibliographic Details
Title: Mathematical Computing and Sustainability : Predictive Modeling and Ramifications of Intelligent Systems
Description: The book is likely intended to provide a thorough knowledge of the complex relationships between computational intelligence, mathematical computing, and sustainability. By taking an interdisciplinary approach, the author may strive to connect theoretical frameworks with practical applications, providing readers with a road map for navigating the intricacies of addressing long-term difficulties. The book could use case studies and examples to demonstrate how cutting-edge technologies and mathematical models can be used to analyse and solve real-world sustainability problems, ultimately encouraging a holistic approach that fosters innovative solutions based on computational and mathematical principles. This book is planned to cover the comprehensive investigation into the synergies between Computational Intelligence (CI), Mathematical Computing, and Sustainability. An examination of the possible impact of intelligent systems on sustainability, new concepts and approaches for incorporating CI and mathematical computing into sustainable practices etc. There will be chapters explaining the Exploration of upcoming technologies (e.g., quantum computing, bio-inspired computing) and their potential role in promoting sustainability.
Authors: Shalli Rani, Syed Hassan Shah, Ayush Dogra
Resource Type: eBook.
Subjects: Mathematical models--Data processing, Intelligent control systems, Artificial intelligence, Expert systems (Computer science)
Categories: MATHEMATICS / Applied, BUSINESS & ECONOMICS / Industries / Computers & Information Technology, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, COMPUTERS / Software Development & Engineering / Tools, MATHEMATICS / Linear & Nonlinear Programming
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4304846
RelevancyScore: 981
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 981.043701171875
IllustrationInfo
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  Data: Mathematical Computing and Sustainability : Predictive Modeling and Ramifications of Intelligent Systems
– Name: Abstract
  Label: Description
  Group: Ab
  Data: The book is likely intended to provide a thorough knowledge of the complex relationships between computational intelligence, mathematical computing, and sustainability. By taking an interdisciplinary approach, the author may strive to connect theoretical frameworks with practical applications, providing readers with a road map for navigating the intricacies of addressing long-term difficulties. The book could use case studies and examples to demonstrate how cutting-edge technologies and mathematical models can be used to analyse and solve real-world sustainability problems, ultimately encouraging a holistic approach that fosters innovative solutions based on computational and mathematical principles. This book is planned to cover the comprehensive investigation into the synergies between Computational Intelligence (CI), Mathematical Computing, and Sustainability. An examination of the possible impact of intelligent systems on sustainability, new concepts and approaches for incorporating CI and mathematical computing into sustainable practices etc. There will be chapters explaining the Exploration of upcoming technologies (e.g., quantum computing, bio-inspired computing) and their potential role in promoting sustainability.
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  Data: <searchLink fieldCode="AR" term="%22Shalli+Rani%22">Shalli Rani</searchLink><br /><searchLink fieldCode="AR" term="%22Syed+Hassan+Shah%22">Syed Hassan Shah</searchLink><br /><searchLink fieldCode="AR" term="%22Ayush+Dogra%22">Ayush Dogra</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Mathematical+models--Data+processing%22">Mathematical models--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+control+systems%22">Intelligent control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Expert+systems+%28Computer+science%29%22">Expert systems (Computer science)</searchLink>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4304846
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Mathematical models--Data processing
        Type: general
      – SubjectFull: Intelligent control systems
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Expert systems (Computer science)
        Type: general
    Titles:
      – TitleFull: Mathematical Computing and Sustainability : Predictive Modeling and Ramifications of Intelligent Systems
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shalli Rani
      – PersonEntity:
          Name:
            NameFull: Syed Hassan Shah
      – PersonEntity:
          Name:
            NameFull: Ayush Dogra
      – PersonEntity:
          Name:
            NameFull: Shalli Rani
      – PersonEntity:
          Name:
            NameFull: Syed Hassan Shah
      – PersonEntity:
          Name:
            NameFull: Ayush Dogra
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
            – D: 29
              M: 04
              Type: profile
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9783111611112
            – Type: isbn-electronic
              Value: 9783111612034
            – Type: isbn-electronic
              Value: 9783111612324
          Titles:
            – TitleFull: Mathematical Computing and Sustainability : Predictive Modeling and Ramifications of Intelligent Systems
              Type: main
ResultId 1