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) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deep Learning Applications and Intelligent Decision Making in Engineering – Name: Abstract Label: Description Group: Ab 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. – Name: Author Label: Authors Group: Au 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> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computational+intelligence%22">Computational intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering--Data+processing%22">Engineering--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Smart+materials%22">Smart materials</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Engineering+%28General%29%22">TECHNOLOGY & ENGINEERING / Engineering (General)</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Neural+Networks%22">COMPUTERS / Data Science / Neural Networks</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – 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 Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Karthikrajan Senthilnathan – PersonEntity: Name: NameFull: Balamurugan Shanmugam – PersonEntity: Name: NameFull: Dinesh Goyal – PersonEntity: Name: NameFull: Iyswarya Annapoorani – PersonEntity: Name: NameFull: Ravi Samikannu – PersonEntity: Name: NameFull: Karthikrajan Senthilnathan – PersonEntity: Name: NameFull: Balamurugan Shanmugam – PersonEntity: Name: NameFull: Dinesh Goyal – PersonEntity: Name: NameFull: Iyswarya Annapoorani – PersonEntity: Name: NameFull: Ravi Samikannu IsPartOfRelationships: – BibEntity: 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 – Type: isbn-electronic Value: 9781799821113 Titles: – TitleFull: Deep Learning Applications and Intelligent Decision Making in Engineering Type: main |
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