Current Issue - September 2024

Table of Contents - PeerJ Computer Science

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Comp Sci
algorithms-and-analysis-of-algorithms
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September 3, 2024
Ten quick tips for electrocardiogram (ECG) signal processing
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https://doi.org/10.7717/peerj-cs.2295
September 4, 2024
Frequency distribution-aware network based on discrete cosine transformation (DCT) for remote sensing image super resolution
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https://doi.org/10.7717/peerj-cs.2255
September 4, 2024
Classification of imbalanced ECGs through segmentation models and augmented by conditional diffusion model
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https://doi.org/10.7717/peerj-cs.2299
September 30, 2024
Fairness-enhancing classification methods for non-binary sensitive features—How to fairly detect leakages in water distribution systems
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https://doi.org/10.7717/peerj-cs.2317
September 26, 2024
Enhancing energy balance in wireless sensor networks through optimized minimum spanning tree
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https://doi.org/10.7717/peerj-cs.2269
September 26, 2024
Autonomous intersection over union (IoU) loss: adaptive dynamic non-monotonic focal IoU loss
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https://doi.org/10.7717/peerj-cs.2347
September 23, 2024
A model based LSTM and graph convolutional network for stock trend prediction
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https://doi.org/10.7717/peerj-cs.2326
September 23, 2024
Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines
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https://doi.org/10.7717/peerj-cs.2328
September 20, 2024
LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation
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https://doi.org/10.7717/peerj-cs.2279
September 20, 2024
Intelligent accounting optimization method based on meta-heuristic algorithm and CNN
https://doi.org/10.7717/peerj-cs.2281
September 19, 2024
Machine learning and natural language processing to assess the emotional impact of influencers’ mental health content on Instagram
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https://doi.org/10.7717/peerj-cs.2251
September 19, 2024
A flexible perception method of thin smoke based on patch total bounded variation for buildings
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https://doi.org/10.7717/peerj-cs.2282
September 13, 2024
Enhancing intrusion detection performance using explainable ensemble deep learning
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https://doi.org/10.7717/peerj-cs.2289

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