October 2023

Table of Contents - PeerJ Computer Science

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October 26, 2023
In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches
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https://doi.org/10.7717/peerj-cs.1648
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 30, 2023
Hand gesture recognition via deep data optimization and 3D reconstruction
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https://doi.org/10.7717/peerj-cs.1619
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 20, 2023
Challenges and opportunities for Arabic question-answering systems: current techniques and future directions
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https://doi.org/10.7717/peerj-cs.1633
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 5, 2023
Membership inference attack on differentially private block coordinate descent
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https://doi.org/10.7717/peerj-cs.1616
October 24, 2023
Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios
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https://doi.org/10.7717/peerj-cs.1639
October 11, 2023
Extracting relations from texts using vector language models and a neural network classifier
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https://doi.org/10.7717/peerj-cs.1636
October 30, 2023
Improved deep learning image classification algorithm based on Swin Transformer V2
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https://doi.org/10.7717/peerj-cs.1665
October 25, 2023
Application of multimodal perception scenario construction based on IoT technology in university music teaching
https://doi.org/10.7717/peerj-cs.1602

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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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