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Neural Networks at PeerJ

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Prediction of fatigue crack growth rate, maximum strain energy release rate, and total energy dissipation in adhesive bonds: a machine learning approach and interactive R-Shiny panel development
Mustafa Çakır
Adaptive route optimization in tourism using ant colony graph neural networks with deep learning
Xiaoxi Ji, Xuehua Shen
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MS-YOLO11: a multidimensional synergistic you only look once 11 algorithm for pulmonary nodule detection
Jibin Yin, Jia’nan Zhao, Xiangliang Zhang
Multi-step-ahead forecasting of bike-sharing demand using multilayer perceptron model with additional timestamp features
Ganjar Alfian, Yuris Mulya Saputra, Wildan Dzaky Ramadhani, Fransiskus Tatas Dwi Atmaji, Umar Farooq, Filip Benes, Norma Latif Fitriyani, Muhammad Syafrudin

Widely read

A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data
Serdar Arslan
10,093 views · 1,542 downloads
PPE detector: a YOLO-based architecture to detect personal protective equipment (PPE) for construction sites
Md. Ferdous, Sk. Md. Masudul Ahsan
8,228 views · 1,684 downloads
Alzheimer’s disease diagnosis and classification using deep learning techniques
Waleed Al Shehri
8,073 views · 826 downloads
Diffusion models in text generation: a survey
Qiuhua Yi, Xiangfan Chen, Chenwei Zhang, Zehai Zhou, Linan Zhu, Xiangjie Kong
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Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks
Christine Dewi, Rung-Ching Chen, Xiaoyi Jiang, Hui Yu
5,697 views · 591 downloads

Editors' picks

7 January 2026
Multi-step-ahead forecasting of bike-sharing demand using multilayer perceptron model with additional timestamp features
Ganjar Alfian, Yuris Mulya Saputra, Wildan Dzaky Ramadhani, Fransiskus Tatas Dwi Atmaji, Umar Farooq, Filip Benes, Norma Latif Fitriyani, Muhammad Syafrudin
Disease diagnosis in banana leaves: a review on AI powered techniques
Priyadarshini R., Vinothini A.

Recently cited

Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks
Sidra Abbas, Imen Bouazzi, Stephen Ojo, Abdullah Al Hejaili, Gabriel Avelino Sampedro, Ahmad Almadhor, Michal Gregus
68 citations · 2,448 views · 414 downloads
A lightweight intrusion detection method for IoT based on deep learning and dynamic quantization
Zhendong Wang, Hui Chen, Shuxin Yang, Xiao Luo, Dahai Li, Junling Wang
85 citations · 3,886 views · 476 downloads
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This Neural Networks Overlay is a subset of the peer-reviewed articles found in PeerJ Computer Science .

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International Conference on Machine Learning and Intelligent Systems (MLIS)
Revolutionizing Healthcare: The Role of AI and Machine Learning
Knowledge-infused System for Intelligent Ocean Applications
Artificial Intelligence for Mental Health: Advancements, Challenges, and Ethical Implications
Decision Making in Complex Systems: The Theoretical Basis
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