S. Iqbal Ahamed

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This thesis is a comprehensive study of matrix factorization methods used in recommender systems. We study and analyze the existing models, specifically probabilistic models used in conjunction with matrix factorization methods, for recommender systems from a machine learning perspective. We implement two different methods suggested in scientific literature(More)
Obesity is becoming one of the serious problems for the health of worldwide population. Social interactions on mobile phones and computers via internet through social e-networks are one of the major causes of lack of physical activities. For the health specialist, it is important to track the record of physical activities of the obese or overweight patients(More)
UMTS with WCDMA radio interface increases spectral efficiency with its ability to transport multiple parallel services to the same mobile with different quality requirements on one physical connection. To support the above key feature, every transport channel has an associated semi static attribute called the Rate matching Attribute(RMA). In this work, we(More)
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