Titlebook: Applied Computing to Support Industry: Innovation and Technology; First International Mohammed I. Khalaf,Dhiya Al-Jumeily,Alexei Lisitsa C

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書目名稱Applied Computing to Support Industry: Innovation and Technology被引頻次學(xué)科排名




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書目名稱Applied Computing to Support Industry: Innovation and Technology讀者反饋學(xué)科排名

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Detection of Copy-Move Forgery in Digital Image Based on SIFT Features and Automatic Matching Threshhe internet or newspaper. This huge use of images technology has been accompanied by an evolution in editing tools which makes modifying and editing an image very simple. This paper proposes an effective and fast method for copy-move forgery detection. The paper adopts a SIFT technique for features

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Classifying Political Arabic Articles Using Support Vector Machine with Different Feature Extractionetermine the political orientation of an article automatically can be beneficial in many areas from academia to security. However, the sentiment classification of web log posts (political web log posts in particular), is apparently more complex than the sentiment classification of conventional text.

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