Artificial Intelligence
FARLEAD2 receives a test scenario from the developer, and verifies a related functional behavior by witnessing the test scenario in the Application Under Test, on a real mobile device. The 'results.zip' file contains 204 Comma-Separated Values (CSV) files and a Perl script 'createtable.pl' that generates Table 2 in the manuscript. Each CSV file contains the results of ten runs of a witness generator for a test scenario under a given level of information. The experimental test scenarios are located in the 'scenarios.zip' file.
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Weibo_senti_100k sentiment classification data set is a two-class classification data set, the average length is 42.9 words. This data set contains 100,000 pieces of Sina weibo text data, including two categories.THUCNews news classification data set contains 50,000 pieces of data, the average length is 534.53 words, including 10 categories.
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The support dataset for paper "Prediction for loosening life of bolted joints using IMUs with dimensionality reduction"
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Our dataset can be used to study the relationship between infrared video, EEG and sleep classification, as well as for cross-modal studies. The final version of the dataset contains synchronised IR video features, EEG and labels. We have spent about two years collecting a new dataset. Existing sleep datasets (e.g., MASS, SHHS, Sleep-EDF) contain only physiological electrical signals (EEG, EOG, EMG, etc.). Our dataset contains both these and simultaneous infrared sleep video data.
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Here are 3 public datasets on relation extraction.
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130 videos are available, captured in Patras, Greece, displaying drivers in real cars, moving under nighttime conditions where drowsiness detection is more important.The participating drivers are: 11 males and 10 females with different features (hair color, beard, glasses, etc). The videos are split in 2 categories:
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content-based dataset that composes of 12 features for eight common types of files (JPG, PNG, HTML, TXT, MP4, M4A, MOV, and MP3) to be suitable for file type identification (FTI). These features were extracted from pool of file fragment of size 512 byte each from all the prementioned eight types. This dataset is developed in such a way that can be used for supervised and unsupervised ML model. It provides the ability to classifying and clustering the above-mentioned type into two levels.
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Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases.
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