Current Issue - January 2026

Table of Contents - PeerJ Computer Science

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artificial-intelligence data-mining-and-machine-learning data-science
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January 30, 2026
Enhancing transparency understanding using machine learning and visual analytics
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https://doi.org/10.7717/peerj-cs.3513
January 28, 2026
AI models for demographic prediction in e-commerce: age and gender from initial user interactions
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https://doi.org/10.7717/peerj-cs.3563
January 28, 2026
New hybrid multi-objective feature selection: Boruta-XGBoost
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https://doi.org/10.7717/peerj-cs.3463
January 21, 2026
The analysis of voltage collapse induced by nonlinear loads in an arc furnace utilising deep learning-driven TabNet and NODE models
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https://doi.org/10.7717/peerj-cs.3505
January 15, 2026
Energy awareness prediction model based on multi-agent decision-making modeling in green supply chain marketing strategy
https://doi.org/10.7717/peerj-cs.3440
January 9, 2026
Prediction of fatigue crack growth rate, maximum strain energy release rate, and total energy dissipation in adhesive bonds: a machine learning approach and interactive R-Shiny panel development
https://doi.org/10.7717/peerj-cs.3450
January 7, 2026
Multi-step-ahead forecasting of bike-sharing demand using multilayer perceptron model with additional timestamp features
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https://doi.org/10.7717/peerj-cs.3472
January 6, 2026
Controllable Chinese landscape art creation using adversarially regularized autoencoder
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https://doi.org/10.7717/peerj-cs.3457
January 5, 2026
Clustering student argumentation types by implementing a multi-document clustering model: a combination of Pytorch and BERT
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https://doi.org/10.7717/peerj-cs.3431

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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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