Browsing Department of Electrical Engineering by Subject "Machine learning"
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H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression
(Springer, 2015)This paper introduces two polynomial regression solutions for error concealment by predicting the values of motion vectors of lost macroblocks. The two solutions are online and offline polynomial regression modeling. In ... -
Prediction of EV Charging Behavior Using Machine Learning
(IEEE Access, 2021)As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. One of the key challenges, however, ...