Yawar Rehman

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Artificial Neural Network algorithms has been tested for the classification of patterns and best among them was implemented for the application of brain tumour classification as specified by World Health Organization standards via 2D MR images. The technique of Rajasekaran and Pai (sBAM) was found to give most successful results of classifying tumour into(More)
Though significant progress has been made in last decade but still pedestrian detection is a challenging task. In real world, pedestrians are bound to produce artifacts, like pose & attire variations and occlusions, which are some of the main causes of false alarms. We propose a method which can tackle these variations efficiently. Instead of(More)
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