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OverviewSecurity technologies have advanced at an accelerated pace in the past few decades. These advancements in cyber security have benefitted many organizations and companies interested in protecting their virtual assets. Advanced Image-Based Spam Detection and Filtering Techniques provides a detailed examination of the latest strategies and methods used to protect against virtual spam. Featuring comprehensive coverage across a range of related topics such as image filters, optical character recognition, fuzzy inference systems, and near-duplicate detection, this book is an ideal reference source for engineers, business managers, professionals, and researchers seeking innovative technologies to aid in spam recognition. Full Product DetailsAuthor: Sunita Vikrant DhavalePublisher: MKP Techologies Imprint: MKP Techologies Dimensions: Width: 15.20cm , Height: 1.40cm , Length: 22.90cm Weight: 0.615kg ISBN: 9781683180135ISBN 10: 1683180135 Pages: 178 Publication Date: 30 March 2017 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationSunita Vikrant Dhavale, Defense Institute of Advanced Technology (DIAT), Pune, India. Tab Content 6Author Website:Countries AvailableAll regions |
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