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Many educators have worried about the failures of students through academic education. Thus, a variety predictions been applied to general information including culture, social, and economic which wasn’t related student performance. We gathered an actual dataset from three years stages Mustansiriyah University in Iraq. The consists without any socioeconomic data, it includes forty-four undergra...

according to world health organization, breast cancer is one of the most deadly cancers occurred in women. therefore accurate diagnosis and prediction is important to decrease the high death rate. the aim of this paper is twofold. first, improving breast cancer detection accuracy using modified fuzzy logic (mfl) then improving the performance of mfl algorithm using gpu platform. the experimenta...

Big Data aims at the efficient processing of massive amounts of data. Performance modeling is often used to optimize performance of systems under development. Based on experiences from modeling Big Data solutions, we describe some problems in applying performance modeling and discuss potential solution approaches.

Two antagonistic models are used to model the training-performance relationship during an eight week cycling training, with a prediction of the performances in the last week of training. Results indicated different qualities of the model fits for the test data for both models. Mean differences between predicted and real performances were 2.39% for the Fitness-Fatigue-Model and 4.43% for the Per...

This position paper describes an approach to predict the performances of a Web application already in the early stages of application development. It leverages the wealth of information of MDWE solutions to automatically obtain accurate representations of the running application in terms of layered queue networks (LQNs), i.e., analytical models simulating the behavior of the system and computin...

Software performance prediction methods are typically validated by taking an appropriate software system, performing both performance predictions and performance measurements for that system, and comparing the results. The validation includes manual actions, which makes it feasible only for a small number of systems. To significantly increase the number of systems on which software performance ...