October 2023

Table of Contents - PeerJ Computer Science

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Comp Sci
data-mining-and-machine-learning data-science
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October 10, 2023
CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network
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https://doi.org/10.7717/peerj-cs.1634
October 26, 2023
Energy consumption analysis of power grid distribution transformers based on an improved genetic algorithm
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https://doi.org/10.7717/peerj-cs.1632
October 31, 2023
Enhancing prediction of tooth caries using significant features and multi-model classifier
https://doi.org/10.7717/peerj-cs.1631
October 4, 2023
Mining Google Trends data for nowcasting and forecasting colorectal cancer (CRC) prevalence
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https://doi.org/10.7717/peerj-cs.1518
October 26, 2023
ASAVACT: Arabic sentiment analysis for vaccine-related COVID-19 tweets using deep learning
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https://doi.org/10.7717/peerj-cs.1507
October 24, 2023
Residual block fully connected DCNN with categorical generalized focal dice loss and its application to Alzheimer’s disease severity detection
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https://doi.org/10.7717/peerj-cs.1599
October 24, 2023
Normalized effect size (NES): a novel feature selection model for Urdu fake news classification
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https://doi.org/10.7717/peerj-cs.1612
October 23, 2023
Online verification and management scheme of gateway meter flow in the power system by machine learning
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https://doi.org/10.7717/peerj-cs.1581
October 6, 2023
A high performance computing technology powered multimedia fusion model in university English translation
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https://doi.org/10.7717/peerj-cs.1608
October 25, 2023
New media art design based on fast visual segmentation and 3D image processing
https://doi.org/10.7717/peerj-cs.1640

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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
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