February 2024

Table of Contents - PeerJ Computer Science

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Comp Sci
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February 28, 2024
Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
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https://doi.org/10.7717/peerj-cs.1860
February 23, 2024
Diffusion models in text generation: a survey
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https://doi.org/10.7717/peerj-cs.1905
February 23, 2024
A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents
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https://doi.org/10.7717/peerj-cs.1769
February 21, 2024
Categorization of Alzheimer’s disease stages using deep learning approaches with McNemar’s test
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https://doi.org/10.7717/peerj-cs.1877
February 28, 2024
CNN-based noise reduction for multi-channel speech enhancement system with discrete wavelet transform (DWT) preprocessing
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https://doi.org/10.7717/peerj-cs.1901
February 20, 2024
A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN
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https://doi.org/10.7717/peerj-cs.1852
February 19, 2024
Intelligent control strategy for industrial furnaces based on yield classification prediction using a gray relative correlation-convolutional neural network-multilayer perceptron (GCM) machine learning model
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https://doi.org/10.7717/peerj-cs.1836
February 29, 2024
Vulnerable JavaScript functions detection using stacking of convolutional neural networks
https://doi.org/10.7717/peerj-cs.1838
February 29, 2024
Proj2Proj: self-supervised low-dose CT reconstruction
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https://doi.org/10.7717/peerj-cs.1849
February 15, 2024
FV-EffResNet: an efficient lightweight convolutional neural network for finger vein recognition
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https://doi.org/10.7717/peerj-cs.1837
February 29, 2024
A bilingual benchmark for evaluating large language models
https://doi.org/10.7717/peerj-cs.1893
February 26, 2024
An approach to the dermatological classification of histopathological skin images using a hybridized CNN-DenseNet model
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https://doi.org/10.7717/peerj-cs.1884
February 27, 2024
A novel approach to recognition of Alzheimer’s and Parkinson’s diseases: random subspace ensemble classifier based on deep hybrid features with a super-resolution image
https://doi.org/10.7717/peerj-cs.1862
February 26, 2024
RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids
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https://doi.org/10.7717/peerj-cs.1872
February 5, 2024
RNGU-NET: a novel efficient approach in Segmenting Tuberculosis using chest X-Ray images
https://doi.org/10.7717/peerj-cs.1780
February 29, 2024
Advancing brain tumor detection: harnessing the Swin Transformer’s power for accurate classification and performance analysis
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https://doi.org/10.7717/peerj-cs.1867
February 9, 2024
RSRNeT: a novel multi-modal network framework for named entity recognition and relation extraction
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https://doi.org/10.7717/peerj-cs.1856
February 28, 2024
LFC-UNet: learned lossless medical image fast compression with U-Net
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https://doi.org/10.7717/peerj-cs.1924
February 28, 2024
A neural machine translation method based on split graph convolutional self-attention encoding
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https://doi.org/10.7717/peerj-cs.1886
February 21, 2024
Identifying optical microscope images of CVD-grown two-dimensional MoS2 by convolutional neural networks and transfer learning
https://doi.org/10.7717/peerj-cs.1885
February 29, 2024
A proposed reconstruction method of a 3D animation scene based on a fuzzy long and short-term memory algorithm
https://doi.org/10.7717/peerj-cs.1864
February 29, 2024
Daily natural gas load prediction method based on APSO optimization and Attention-BiLSTM
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https://doi.org/10.7717/peerj-cs.1890
February 15, 2024
A model for new media data mining and analysis in online English teaching using long short-term memory (LSTM) network
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https://doi.org/10.7717/peerj-cs.1869
February 29, 2024
Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems
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https://doi.org/10.7717/peerj-cs.1913
February 29, 2024
Privacy preserved and decentralized thermal comfort prediction model for smart buildings using federated learning
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https://doi.org/10.7717/peerj-cs.1899

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