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Titlebook: Applications of Computational Intelligence; Second IEEE Colombia Alvaro David Orjuela-Cañón,Juan Carlos Figueroa-Ga Conference proceedings

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Retail Traffic-Flow Analysis Using a Fast Multi-object Detection and Tracking Systemmes. We further measured the performance of our model in the MOT16 Challenge and applied our algorithm to obtain heatmaps and paths for customers and shopping carts in a retail store from CCTV cameras.
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Prediction of Diabetic Patient Readmission Using Machine Learningetic patient. However, these approaches rely on a large number of clinical variables thereby requiring deep learning techniques. This article presents the application of simpler machine learning models achieving superior prediction performance while making computations more tractable.
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Self-help groups as a route to empowermentmes. We further measured the performance of our model in the MOT16 Challenge and applied our algorithm to obtain heatmaps and paths for customers and shopping carts in a retail store from CCTV cameras.
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,Einführung – Aus der Praxis für die Praxis,MBF using Scale Invariant Features. The obtained results show that with a video resolution of 1280 . 720 pixels and using SVM, precision and recognition rates of 86% and 94% are obtained respectively, while with SSD 93% and 67% rates are reached with times of processing higher than SVM.
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