Current Issue - October 2025

Table of Contents - PeerJ Computer Science

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artificial-intelligence data-science
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October 31, 2025
Unravelling handwriting images: deep neural models for dyslexia, dysgraphia, and other learning disabilities detections and classifications: a literature review
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https://doi.org/10.7717/peerj-cs.3296
October 30, 2025
MPV: a density-peak-based method for automated cluster number detection
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https://doi.org/10.7717/peerj-cs.3315
October 30, 2025
GRIFD: a graded region-wise dissection and cross-pooling RNN framework for precise diabetic retinopathy detection in fundus images
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https://doi.org/10.7717/peerj-cs.3197
October 27, 2025
A hybrid fusion of the recurrent neural network and bidirectional long short-term memory for wind speed prediction in the South China Sea
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https://doi.org/10.7717/peerj-cs.3303
October 23, 2025
A backpropagation neural network model with adaptive feature extraction for music emotion recognition in online music appreciation
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https://doi.org/10.7717/peerj-cs.3192
October 14, 2025
Design of personalized creation model for cultural and creative products based on evolutionary adaptive network
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https://doi.org/10.7717/peerj-cs.3288
October 13, 2025
KECO: toward efficient task offloading in mobile edge computing with federated knowledge distillation
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https://doi.org/10.7717/peerj-cs.3021
October 8, 2025
ENeTAMIB: an attention-inception-based model for accurate and explainable skin disease diagnosis
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https://doi.org/10.7717/peerj-cs.3242
October 7, 2025
Dense symmetric temporal alignment learning for human pose estimation
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https://doi.org/10.7717/peerj-cs.3100
October 6, 2025
Ten quick tips for improving estimated time of arrival predictions using machine learning in logistics and transportation systems
https://doi.org/10.7717/peerj-cs.3259
October 3, 2025
SSM-FastICANet: a hybrid state space and FastICA model for economic growth forecasting in energy-economy-environment systems
https://doi.org/10.7717/peerj-cs.3240
October 2, 2025
Multiscale attention-based network to enhance detection and classification of autism spectrum disorders using convolutional neural network
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https://doi.org/10.7717/peerj-cs.3134

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