Deep Learning Applications and Intelligent Decision Making in Engineering

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Title: Deep Learning Applications and Intelligent Decision Making in Engineering
Description: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.
Authors: Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Ravi Samikannu
Resource Type: eBook.
Subjects: Computational intelligence, Engineering--Data processing, Smart materials, Machine learning
Categories: TECHNOLOGY & ENGINEERING / Engineering (General), COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Neural Networks
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2649540
RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1103.19409179688
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  Data: Deep Learning Applications and Intelligent Decision Making in Engineering
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  Data: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.
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  Data: <searchLink fieldCode="AR" term="%22Karthikrajan+Senthilnathan%22">Karthikrajan Senthilnathan</searchLink><br /><searchLink fieldCode="AR" term="%22Balamurugan+Shanmugam%22">Balamurugan Shanmugam</searchLink><br /><searchLink fieldCode="AR" term="%22Dinesh+Goyal%22">Dinesh Goyal</searchLink><br /><searchLink fieldCode="AR" term="%22Iyswarya+Annapoorani%22">Iyswarya Annapoorani</searchLink><br /><searchLink fieldCode="AR" term="%22Ravi+Samikannu%22">Ravi Samikannu</searchLink>
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      – Code: 620.00285631
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computational intelligence
        Type: general
      – SubjectFull: Engineering--Data processing
        Type: general
      – SubjectFull: Smart materials
        Type: general
      – SubjectFull: Machine learning
        Type: general
    Titles:
      – TitleFull: Deep Learning Applications and Intelligent Decision Making in Engineering
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            NameFull: Dinesh Goyal
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            NameFull: Iyswarya Annapoorani
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            NameFull: Ravi Samikannu
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            NameFull: Karthikrajan Senthilnathan
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            NameFull: Balamurugan Shanmugam
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 13
              M: 10
              Type: profile
              Y: 2020
          Identifiers:
            – Type: isbn-print
              Value: 9781799821083
            – Type: isbn-electronic
              Value: 9781799821106
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              Value: 9781799821113
          Titles:
            – TitleFull: Deep Learning Applications and Intelligent Decision Making in Engineering
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