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This dataset is for the paper titled: Segmentation of Cervical Cell Images based on Generative Adversarial Networks. The dataset is used to train and test the Cell-GAN, a generative adversarial network. After training, the Cell-GAN is able to generate a complete single-cell image which has the similar contour to the cell to be segmented.
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This data set is for the paper titled:
Channel Coding in 5G New Radio
Tutorial Overivew and Performance Comparison with 4G LTE
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The database contains PROCON metrics values extracted from more than 30400 source code files (with 14950 bug reports) of GitHub repository. Various Machine earning (ML) models trained using PROCON metrics outperform the ones trained using OO metrics of PROMISE repository.
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