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With the increasing demands for vehicle-to-vehicle and vehicle-to-infrastructure communications in intelligent transportation systems, new generation of vehicular telematics inevitably depends on the cooperation of heterogeneous wireless networks. In heterogeneous vehicular telematics, the network selection is an important step to the realization of(More)
Evaluation of estrogen and progesterone receptors in breast cancer is widely used for the prediction of the response to endocrine therapy and as a biologic parameter closely related to disease prognosis. Immunohistochemistry is considered a specific, sensitive, and economic method for the determination of estrogen receptor/progesterone receptor status. The(More)
Cardiac pulse measurements play an important role in diagnosing heart diseases. In this paper, we describe a methodology that simply depends on a series of facial images. By performing automatic face tracking and blind source separation of three color channels into independent components, we extract the blood volume pulse from the recorded facial frames.(More)
Evaluation of estrogen and progesterone receptor (ER, PgR) status in breast cancer is widely used for the prediction of the response to endocrine therapy and as a biologic parameter closely related to disease prognosis. The IHC method is considered to be a specific, sensitive, and economical method for determining ER and PgR status. The authors developed(More)
In this paper, we build a movie rating prediction system based on selected training sets provided by MovieLens. Several machine learning related algorithms – baseline predictor, KNN, Stochastic Gradient Descent, SVD, SVD++, asymmetric SVD, integrated model and NMTF are used to predict the rating from particular users for unrated movies. RMSE(More)