October 2024

Table of Contents - PeerJ Computer Science

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Comp Sci
data-mining-and-machine-learning artificial-intelligence
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October 16, 2024
Machine learning based tuberculosis (ML-TB) health predictor model: early TB health disease prediction with ML models for prevention in developing countries
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https://doi.org/10.7717/peerj-cs.2397
October 7, 2024
Mental illness detection through harvesting social media: a comprehensive literature review
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https://doi.org/10.7717/peerj-cs.2296
October 4, 2024
A destructive active defense algorithm for deepfake face images
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https://doi.org/10.7717/peerj-cs.2356
October 21, 2024
A systematic review on artificial intelligence approaches for smart health devices
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https://doi.org/10.7717/peerj-cs.2232
October 18, 2024
Pre-trained quantum convolutional neural network for COVID-19 disease classification using computed tomography images
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https://doi.org/10.7717/peerj-cs.2343
October 17, 2024
Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines
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https://doi.org/10.7717/peerj-cs.2389
October 9, 2024
Ensembles of decision trees and gradient-based learning for employee turnover rate prediction
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https://doi.org/10.7717/peerj-cs.2387
October 2, 2024
Clustering uncertain overlapping symptoms of multiple diseases in clinical diagnosis
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https://doi.org/10.7717/peerj-cs.2315
October 18, 2024
An AutoEncoder enhanced light gradient boosting machine method for credit card fraud detection
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https://doi.org/10.7717/peerj-cs.2323
October 14, 2024
Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques
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https://doi.org/10.7717/peerj-cs.2246
October 22, 2024
Advanced neural network-based model for predicting court decisions on child custody
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https://doi.org/10.7717/peerj-cs.2293
October 8, 2024
Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network
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https://doi.org/10.7717/peerj-cs.2333
October 31, 2024
A framework for generating recommendations based on trust in an informal e-learning environment
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https://doi.org/10.7717/peerj-cs.2386
October 14, 2024
Traffic data imputation via knowledge graph-enhanced generative adversarial network
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https://doi.org/10.7717/peerj-cs.2408
October 31, 2024
Multimodal biometric identification: leveraging convolutional neural network (CNN) architectures and fusion techniques with fingerprint and finger vein data
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https://doi.org/10.7717/peerj-cs.2440
October 31, 2024
Metaheuristic optimized complex-valued dilated recurrent neural network for attack detection in internet of vehicular communications
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https://doi.org/10.7717/peerj-cs.2366
October 17, 2024
PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image
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https://doi.org/10.7717/peerj-cs.2362
October 8, 2024
Predicting e-commerce product prices through the integration of variational mode decomposition and deep neural networks
https://doi.org/10.7717/peerj-cs.2353
October 18, 2024
On the influence of artificially distorted images in firearm detection performance using deep learning
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https://doi.org/10.7717/peerj-cs.2381
October 1, 2024
Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs
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https://doi.org/10.7717/peerj-cs.2324
October 11, 2024
AI-based automated breast cancer segmentation in ultrasound imaging based on Attention Gated Multi ResU-Net
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https://doi.org/10.7717/peerj-cs.2226
October 28, 2024
A novel multi-model feature generation technique for suicide detection
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https://doi.org/10.7717/peerj-cs.2301
October 4, 2024
Quick mining in dense data: applying probabilistic support prediction in depth-first order
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https://doi.org/10.7717/peerj-cs.2334
October 28, 2024
LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction
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https://doi.org/10.7717/peerj-cs.2420
October 21, 2024
State monitoring and fault prediction of centrifugal compressors based on long short–term memory and principal component analysis (LSTM-PCA)
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https://doi.org/10.7717/peerj-cs.2433

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