January 2026

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Table of Contents - PeerJ Computer Science

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data-science algorithms-and-analysis-of-algorithms
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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 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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