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Categorization of scenes is a fundamental process of human vision that allows us to efficiently and rapidly analyze our surroundings. Scene classification, the classification of images into semantic categories (e.g., coast, mountains, highways and streets) is a challenging and important problem nowadays. This paper uses gray level cooccurrence matrix method(More)
Scene classification, the classification of images into semantic categories (e.g., coast, mountains, highways and streets) is a challenging and important problem nowadays. Many different approaches and feature extraction methodologies concerning scene classification have been proposed and applied in the last few years. In real time environments, we prefer a(More)
Data Mining approaches have been widely applied in the field of healthcare to facilitate the quality diagnosis. The physiologic state and the complexity of disease of a patient is monitored through diverse variety of symptoms and laboratory test measurements. Data acquisition in healthcare systems is voluminous; they come from many different sources, not(More)
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