D shanmugapriya (16 risultati)

Condizione: New. pp. 112.

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Condizione: As New. Unread book in perfect condition.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fractal Image compression is one of the newer ways of squeezing an image file by systematically analyzing it and saving a smaller set of instruction instead of a description of every pixel that can be used to precisely reconstruct it. The Technique used in this book utilizes the Genetic Algorithm, which greatly decreases the search space for finding the self similarities in the given image. The Domain pool design is one of the dominant issues, which affect coding performance of fractal image compression. In this book, a block-averaging method is used to design an efficient domain pool, which produces high quality image after compression and decompression. The Genetic Algorithm reduces the time complexity irrespective of image quality and Efficient Domain pool attains high quality image. Generally when image compression is carried out, the factors such as size of image, compression ratio, quality and time are considered. The work in this book concentrates on reducing time complexity involved during fractal image compression and also on obtaining high quality compressed images. 112 pp. Englisch.…

Condizione: New. Print on Demand pp. 112 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shanmugapriya D.The Author is working as Lecturer in Information Technology in Avinashilingam University, Coimbatore, India and has Eleven years of teaching experience. Her research interests are Biometrics and Image processing. She . …

Condizione: New. PRINT ON DEMAND pp. 112.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Fractal Image compression is one of the newer ways of squeezing an image file by systematically analyzing it and saving a smaller set of instruction instead of a description of every pixel that can be used to precisely reconstruct it. The Technique used in this book utilizes the Genetic Algorithm, which greatly decreases the search space for finding the self similarities in the given image. The Domain pool design is one of the dominant issues, which affect coding performance of fractal image compression. In this book, a block-averaging method is used to design an efficient domain pool, which produces high quality image after compression and decompression. The Genetic Algorithm reduces the time complexity irrespective of image quality and Efficient Domain pool attains high quality image. Generally when image compression is carried out, the factors such as size of image, compression ratio, quality and time are considered. The work in this book concentrates on reducing time complexity involved during fractal image compression and also on obtaining high quality compressed images.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.…

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides vital research on the application of machine learning techniques for network security research. Highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the a.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the advancement of technology continues, cyber security continues to play a significant role in today's world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.…