PeerJ Computer Science - Table of Contents

February 20, 2026

MDPENet: multimodal-driven prototype evolving network for few-shot semantic segmentation

Xueqian Ding, Zhaobin Chang, Qingfeng Chen, Guodong Che, Zi Yang

https://doi.org/10.7717/peerj-cs.3591

February 16, 2026

Plants disease detection and identification system using AI and computer vision techniques

Abid Iqbal, Irfan Ahmed, Saud Rehman, Ali S. Alzahrani

https://doi.org/10.7717/peerj-cs.3509

February 16, 2026

Benchmarking augmentation to enhance A-line and B-line classification with sparse data

Maroš Hliboký, Ján Magyar, Martina Szabóová, Marek Malík, Martin Števík, Štefánia Vetešková, Kamil Zeleňák, Dominik Vranay, Marek Bundzel, Ján Paralič, František Babič, Zuzana Gešvandtner Trabalková, Anton Dzian

https://doi.org/10.7717/peerj-cs.3436

February 13, 2026

Container defect detection using enhanced YOLO with uncertainty-aware dynamic modulated convolution and parallelized patch-aware attention

Benshuo Zhang, Dapeng Cheng, Zhipeng Liang, Xinhao Li, Feng Zhao, Zhiyong An

https://doi.org/10.7717/peerj-cs.3627

February 12, 2026

RNFS: a robust nature-inspired feature selection for remote sensing image classification

Tallha Akram, Omer Chughtai, Shabbab Ali Algamdi, Nadia Nawaz Qadri, Ghada Atteia, Sultan Alanazi

https://doi.org/10.7717/peerj-cs.3495

February 12, 2026

Contrast-enhanced MRI segmentation and classification with optimized vector machine classifier

Abdullah A. Asiri, Toufique Ahmed Soomro, Faisal Bin Ubaid, Fayyaz Ali Jandan, Muhammad Irfan, Khlood M. Mehdar, Magbool Alelyani, Mohammed Alshuhri, Ahmad Alghamdi, Sultan Alamri

https://doi.org/10.7717/peerj-cs.3482

February 10, 2026

Alzheimer’s disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization

Sabari Vasan S., Jayalakshmi P.

https://doi.org/10.7717/peerj-cs.3387

February 6, 2026

Measuring the prediction performance of Alzheimer’s disease using MR images with a deep learning model supported by a cross-replication strategy

Mustafa Cosar

https://doi.org/10.7717/peerj-cs.3580

February 6, 2026

DeepCLSMOTE: deep class-latent synthetic minority oversampling technique

Suvaporn Homjandee, Krung Sinapiromsaran