Isbn: 9783346795632 - information hiding and machine learning (9 risultati)

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  • Lingua: Inglese

    Editore: Grin Verlag, 2023

    3346795632 / 9783346795632

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  • Lingua: Inglese

    Editore: Grin Verlag, 2023

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  • Lingua: Inglese

    Editore: Grin Verlag, 2023

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  • Lingua: Inglese

    Editore: Grin Verlag, 2023

    3346795632 / 9783346795632

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Grin Verlag, 2023

    3346795632 / 9783346795632

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: GRIN Verlag, 2023

    3346795632 / 9783346795632

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Document from the year 2023 in the subject Computer Sciences - Artificial Intelligence, Amity University (Amity School of Engineering and Technology), course: Information Security, Machine Learning, language: English, abstract: Information security is a challenging issue with the high growth rate of the internet. Cryptography, Steganography, and Digital watermarking techniques are widely used for information security for different purposes. In this book, we discuss various methods of hiding information using machine learning techniques.Chapter one is the foundation of the research conducted during the period and dis-cussed in this book. It also overview the problem statement, methodology, objectives, achievements and motivation of the proposed study. It also provides an overview of the organization of this book.In chapter two, the main focus is to review the existing digital image watermarking techniques based on artificial neural network, support vector regression, support vector machines, genetic algorithm and combination of these machine learning algorithms called hybrid techniques based image watermarking. The reviews of these watermarking schemes give the effective solution for copyright protection applications. It is observed that machine learning algorithms are used to reduce the trade-off between robustness and imperceptibility in spatial as well as transform domain. In addition to robustness and imperceptibility, some of the researchers have focused on security of the watermark and how much information is stored in multimedia contents.

  • Lingua: Inglese

    Editore: GRIN Verlag Jan 2023, 2023

    3346795632 / 9783346795632

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Document from the year 2023 in the subject Computer Sciences - Artificial Intelligence, Amity University (Amity School of Engineering and Technology), course: Information Security, Machine Learning, language: English, abstract: Information security is a challenging issue with the high growth rate of the internet. Cryptography, Steganography, and Digital watermarking techniques are widely used for information security for different purposes. In this book, we discuss various methods of hiding information using machine learning techniques.Chapter one is the foundation of the research conducted during the period and dis-cussed in this book. It also overview the problem statement, methodology, objectives, achievements and motivation of the proposed study. It also provides an overview of the organization of this book.In chapter two, the main focus is to review the existing digital image watermarking techniques based on artificial neural network, support vector regression, support vector machines, genetic algorithm and combination of these machine learning algorithms called hybrid techniques based image watermarking. The reviews of these watermarking schemes give the effective solution for copyright protection applications. It is observed that machine learning algorithms are used to reduce the trade-off between robustness and imperceptibility in spatial as well as transform domain. In addition to robustness and imperceptibility, some of the researchers have focused on security of the watermark and how much information is stored in multimedia contents. 152 pp. Englisch.

  • Lingua: Inglese

    Editore: GRIN Verlag, GRIN Verlag Jan 2023, 2023

    3346795632 / 9783346795632

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Document from the year 2023 in the subject Computer Sciences - Artificial Intelligence, Amity University (Amity School of Engineering and Technology), course: Information Security, Machine Learning, language: English, abstract: Information security is a challenging issue with the high growth rate of the internet. Cryptography, Steganography, and Digital watermarking techniques are widely used for information security for different purposes. In this book, we discuss various methods of hiding information using machine learning techniques.Chapter one is the foundation of the research conducted during the period and dis-cussed in this book. It also overview the problem statement, methodology, objectives, achievements and motivation of the proposed study. It also provides an overview of the organization of this book.In chapter two, the main focus is to review the existing digital image watermarking techniques based on artificial neural network, support vector regression, support vector machines, genetic algorithm and combination of these machine learning algorithms called hybrid techniques based image watermarking. The reviews of these watermarking schemes give the effective solution for copyright protection applications. It is observed that machine learning algorithms are used to reduce the trade-off between robustness and imperceptibility in spatial as well as transform domain. In addition to robustness and imperceptibility, some of the researchers have focused on security of the watermark and how much information is stored in multimedia contents. 152 pp. Englisch.

  • Lingua: Inglese

    Editore: GRIN Verlag, 2023

    3346795632 / 9783346795632

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    Da: preigu, Osnabrück, Germaniapreigu

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    Taschenbuch. Condizione: Neu. Information Hiding and Machine Learning | Ashok Kumar Yadav (u. a.) | Taschenbuch | Englisch | 2023 | GRIN Verlag | EAN 9783346795632 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.