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Deep Learning Computational Problems by Santikellur Pranesh (24 results)
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US$ 73.40
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Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits (Studies in Computational Intelligence, 1052)
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Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits (Studies in Computational Intelligence)
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Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits
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Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits
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Deep Learning for Computational Problems in Hardware Security
Published by Springer Verlag, Singapore, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Language: English
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US$ 108.02
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Deep Learning for Computational Problems in Hardware Security
Published by Springer Verlag, Singapore, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Language: English
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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US$ 116.06
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US$ 114.28
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Deep Learning for Computational Problems in Hardware Security : Modeling Attacks on Strong Physically Unclonable Function Circuits
Published by Springer Nature Singapore, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Language: English
US$ 82.28
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 100 | Sprache: Englisch | Produktart: Bücher.
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Deep Learning For Computational Problems
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Condition: New. pp. 100.
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Deep Learning for Computational Problems in Hardware Security
Published by Springer Verlag, Singapore, SG, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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US$ 171.83
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Add to basketHardback. Condition: New. 2023 ed. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.
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US$ 173.19
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Add to basketPaperback. Condition: Brand New. 97 pages. 9.25x6.10x0.21 inches. In Stock.
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US$ 175.49
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Add to basketHardcover. Condition: Brand New. 97 pages. 9.25x6.10x0.51 inches. In Stock.
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Deep Learning for Computational Problems in Hardware Security
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Language: English
US$ 130.47
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Add to basketGebunden. Condition: New. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent modeling attacks on Physically Unclonable Functio.
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Deep Learning for Computational Problems in Hardware Security
Published by Springer Verlag, Singapore, SG, 2022
ISBN 10: 9811940169 ISBN 13: 9789811940163
Language: English
US$ 159.91
Convert currencyUS$ 87.31 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardback. Condition: New. 2023 ed. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent "modeling attacks" on Physically Unclonable Function (PUF) circuits, which are promising hardware security primitives. The volume is self-contained and includes a comprehensive background on PUF circuits, and the necessary mathematical foundation of traditional and advanced machine learning techniques such as support vector machines, logistic regression, neural networks, and deep learning. This book can be used as a self-learning resource for researchers and practitioners of hardware security, and will also be suitable for graduate-level courses on hardware security and application of machine learning in hardware security. A stand-out feature of the book is the availability of reference software code and datasets to replicate the experiments described in the book.
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US$ 140.87
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Add to basketHardcover. Condition: Brand New. 97 pages. 9.25x6.10x0.51 inches. In Stock. This item is printed on demand.
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Deep Learning for Computational Problems in Hardware Security
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 9811940193 ISBN 13: 9789811940194
Language: English
US$ 110.39
Convert currencyUS$ 56.90 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book discusses a broad overview of traditional machine learning methods and state-of-the-art deep learning practices for hardware security applications, in particular the techniques of launching potent modeling attacks on Physically Unclonable Functio.
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US$ 172.97
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US$ 187.37
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Add to basketCondition: New. PRINT ON DEMAND pp. 100.
