prediction
The daily case data for HFMD (Hand-Foot-and-Mouth Disease) and herpangina were collected from the Children’s Hospital of Chongqing Medical University, a national clinical medical research center of China, spanning from January 1, 2015, to December 31, 2021. This dataset contains the timestamp of each patient's discharge, resulting in a total of 109,096 records for HFMD and 133,869 records for herpangina.
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This dataset contains solar radiation data at the high resolution of 1 second for consecutive 72 hours under dynamic weather conditions (sunny and cloudy days). This data can be useful in various fields and researchers can use it in their research for algorithms validation and performance evaluation.
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The data is planned to be used in thunderstorm movement path prediction.
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This dataset was prepared to estimate the winding temperature of a BLDC motor for a variable load and speed profile. It contains two files. The first one is the measurement results for the motor without cooling, while the second one is the measurement results after installing an additional cooling fan on the shaft. The data included in the files are time stamp, winding temperature, casing temperature, speed, current, power loss, mean and standard deviation of the measured quantities for 14400 data records.
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In this paper, we present a collaborative recommend system that recommends elective courses for students based on similarities of student’s grades obtained in the last semester. The proposed system employs data mining techniques to discover patterns between grades. Consequently, we have noticed that clustering students into similar groups by performing clustering. The data set is processed for clustering in such a way that it produces optimal number of clusters.
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Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails.
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