Yiwei Cheng

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

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

Digital Twin: Benefits, use cases, challenges, and opportunities

Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks

A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

Performance Prediction Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy and Extreme Learning Machine

Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network

Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks

Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system