Stephen McAleer

Deepfake detection using deep learning methods: A systematic and comprehensive review

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Soft Tissue Feature Tracking Based on Deep Matching Network

A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions

Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network

Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples

A Robust Weight-Shared Capsule Network for Intelligent Machinery Fault Diagnosis

Potential, challenges and future directions for deep learning in prognostics and health management applications

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

Energy and Policy Considerations for Modern Deep Learning Research

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Applications of machine learning to machine fault diagnosis: A review and roadmap

An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems

High-Resolution Image Synthesis with Latent Diffusion Models

Solving the Rubik’s cube with deep reinforcement learning and search

Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning