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Forgery Image Detection Using Machine Learning Algorithms
Editore:
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206783235
ISBN 13: 9786206783237
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Several machine learning algorithms have been contributed to this thesis to overcome a forgery image issue and some appropriate datasets have played a vital role to provide good outcomes. In the first chapter of this thesis, a brief overview of the literature reviews, the structure of the thesis, the research questions, and aims are going to be presented. The main objective behind writing this thesis is to examine a number of machine learning algorithms and assess their performance on suitable datasets that serve the main goal of the thesis. In order to examine these datasets to fulfill the objective, we will have to use one of the programming languages such as Python which is very suitable for the purpose of the thesis as it has a number of libraries that make it easy to implement and examine. 104 pp. Englisch. Codice articolo 9786206783237
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Forgery Image Detection Using Machine Learning Algorithms
Editore:
LAP Lambert Academic Publishing, 2023
ISBN 10: 6206783235
ISBN 13: 9786206783237
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Several machine learning algorithms have been contributed to this thesis to overcome a forgery image issue and some appropriate datasets have played a vital role to provide good outcomes. In the first chapter of this thesis, a brief overview of the literatu. Codice articolo 1147894614
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Forgery Image Detection Using Machine Learning Algorithms
Editore:
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206783235
ISBN 13: 9786206783237
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -Several machine learning algorithms have been contributed to this thesis to overcome a forgery image issue and some appropriate datasets have played a vital role to provide good outcomes. In the first chapter of this thesis, a brief overview of the literature reviews, the structure of the thesis, the research questions, and aims are going to be presented. The main objective behind writing this thesis is to examine a number of machine learning algorithms and assess their performance on suitable datasets that serve the main goal of the thesis. In order to examine these datasets to fulfill the objective, we will have to use one of the programming languages such as Python which is very suitable for the purpose of the thesis as it has a number of libraries that make it easy to implement and examine.Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. Codice articolo 9786206783237
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Forgery Image Detection Using Machine Learning Algorithms
Editore:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206783235
ISBN 13: 9786206783237
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Several machine learning algorithms have been contributed to this thesis to overcome a forgery image issue and some appropriate datasets have played a vital role to provide good outcomes. In the first chapter of this thesis, a brief overview of the literature reviews, the structure of the thesis, the research questions, and aims are going to be presented. The main objective behind writing this thesis is to examine a number of machine learning algorithms and assess their performance on suitable datasets that serve the main goal of the thesis. In order to examine these datasets to fulfill the objective, we will have to use one of the programming languages such as Python which is very suitable for the purpose of the thesis as it has a number of libraries that make it easy to implement and examine. Codice articolo 9786206783237
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