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Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

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Τίτλος: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
Περιγραφή: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action. - Includes case studies on the application of AI and machine learning for monitoring climate change effects and management - Features applications of software and algorithms for modeling and forecasting climate change - Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability
Συγγραφείς: Ashutosh Kumar Dubey, Abhishek Kumar, Sushil Kumar Narang, Moonis Ali Khan, Arun Lal Srivastav
Resource Type: eBook.
Θέματα: Artificial intelligence, Information visualization--Data processing, Machine learning, Climatic changes--Forecasting, Climate change mitigation
Categories: SCIENCE / Earth Sciences / Meteorology & Climatology, SCIENCE / Life Sciences / Biology
Βάση Δεδομένων: eBook Index
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  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 3283373
RelevancyScore: 969
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 968.509704589844
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  Data: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action. - Includes case studies on the application of AI and machine learning for monitoring climate change effects and management - Features applications of software and algorithms for modeling and forecasting climate change - Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 363.73874
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Information visualization--Data processing
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Climatic changes--Forecasting
        Type: general
      – SubjectFull: Climate change mitigation
        Type: general
    Titles:
      – TitleFull: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
        Type: main
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            NameFull: Ashutosh Kumar Dubey
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            NameFull: Abhishek Kumar
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            NameFull: Sushil Kumar Narang
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            NameFull: Moonis Ali Khan
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            NameFull: Arun Lal Srivastav
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            NameFull: Ashutosh Kumar Dubey
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            NameFull: Abhishek Kumar
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            NameFull: Sushil Kumar Narang
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            NameFull: Moonis Ali Khan
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            NameFull: Arun Lal Srivastav
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 13
              M: 12
              Type: profile
              Y: 2022
          Identifiers:
            – Type: isbn-print
              Value: 9780323997140
            – Type: isbn-electronic
              Value: 9780323997157
          Titles:
            – TitleFull: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
              Type: main
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