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Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development

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Title: Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development
Description: A smart city uses technology to provide services and solve problems to improve urban policy efficiency, reduce waste, improve quality of life, and maximize social inclusion. By 2050, 66% of the world's population is expected to be urban, which is a key driver of a global trend toward the creation of smart cities. This trend creates many opportunities for urban planning committees to learn how to design, modernize, and operate smart cities intelligently and effectively.Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development is a collection of topics that are relevant to the design of a smart city. This book aims to complement technical journal articles that require advanced knowledge of the subject of smart cities and applications for readers. It aims to bridge knowledge gaps in sustainable urban design by providing background information via case studies to facilitate students, recent graduates and new practitioners in urban design and planning.Key Features:- This book features 9 chapters that cover 6 major domains, which include (i) information modelling, (ii) internet of things, (iii) intelligent transportation systems, (iv) water supply, (v) waste management and (vi) sustainable environment- Computational techniques are included in the book. These include artificial neural networks, stochastic models, particle swarm optimization, machine learning, and adaptive neuro-fuzzy Inference systems.- Goals of case studies presented in this book use computational techniques to offer readers examples of supervised, unsupervised and reinforcement learning strategies in the context of smart city applications- References are provided for further reading
Authors: Pijush Samui, Anasua GuhaRay, Elham Mahmoudi
Resource Type: eBook.
Subjects: City planning--Data processing, Smart cities--Technological innovations, Urbanization, Sustainable urban development
Categories: TECHNOLOGY & ENGINEERING / Environmental / General, ARCHITECTURE / Urban & Land Use Planning, TECHNOLOGY & ENGINEERING / Civil / General
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3274883
RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development
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  Data: A smart city uses technology to provide services and solve problems to improve urban policy efficiency, reduce waste, improve quality of life, and maximize social inclusion. By 2050, 66% of the world's population is expected to be urban, which is a key driver of a global trend toward the creation of smart cities. This trend creates many opportunities for urban planning committees to learn how to design, modernize, and operate smart cities intelligently and effectively.Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development is a collection of topics that are relevant to the design of a smart city. This book aims to complement technical journal articles that require advanced knowledge of the subject of smart cities and applications for readers. It aims to bridge knowledge gaps in sustainable urban design by providing background information via case studies to facilitate students, recent graduates and new practitioners in urban design and planning.Key Features:- This book features 9 chapters that cover 6 major domains, which include (i) information modelling, (ii) internet of things, (iii) intelligent transportation systems, (iv) water supply, (v) waste management and (vi) sustainable environment- Computational techniques are included in the book. These include artificial neural networks, stochastic models, particle swarm optimization, machine learning, and adaptive neuro-fuzzy Inference systems.- Goals of case studies presented in this book use computational techniques to offer readers examples of supervised, unsupervised and reinforcement learning strategies in the context of smart city applications- References are provided for further reading
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  Data: <searchLink fieldCode="AR" term="%22Pijush+Samui%22">Pijush Samui</searchLink><br /><searchLink fieldCode="AR" term="%22Anasua+GuhaRay%22">Anasua GuhaRay</searchLink><br /><searchLink fieldCode="AR" term="%22Elham+Mahmoudi%22">Elham Mahmoudi</searchLink>
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      – Code: 307.760285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: City planning--Data processing
        Type: general
      – SubjectFull: Smart cities--Technological innovations
        Type: general
      – SubjectFull: Urbanization
        Type: general
      – SubjectFull: Sustainable urban development
        Type: general
    Titles:
      – TitleFull: Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Pijush Samui
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          Name:
            NameFull: Anasua GuhaRay
      – PersonEntity:
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            NameFull: Elham Mahmoudi
      – PersonEntity:
          Name:
            NameFull: Pijush Samui
      – PersonEntity:
          Name:
            NameFull: Anasua GuhaRay
      – PersonEntity:
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            NameFull: Elham Mahmoudi
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 26
              M: 02
              Type: profile
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9789815049091
            – Type: isbn-electronic
              Value: 9789815049077
          Titles:
            – TitleFull: Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development
              Type: main
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