Yipeng Li

State-of-the-art in artificial neural network applications: A survey

Cuckoo search: recent advances and applications

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

A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching

Review of digital twin about concepts, technologies, and industrial applications

Local visual feature fusion via maximum margin multimodal deep neural network

Robust Detection of Bearing Early Fault Based on Deep Transfer Learning

Online detection for bearing incipient fault based on deep transfer learning

Digital Twin: Enabling Technologies, Challenges and Open Research

Deep Direct Reinforcement Learning for Financial Signal Representation and Trading

A survey of deep neural network architectures and their applications

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

Digital twin paradigm: A systematic literature review

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

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

Role of mask pattern in intelligibility of ideal binary-masked noisy speech

An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech

A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning

Musical pitch estimation using a supervised single hidden layer feed-forward neural network

The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities

Visual Words Assignment Via Information-Theoretic Manifold Embedding

Early Fault Detection Approach With Deep Architectures

On the optimality of ideal binary time–frequency masks

Monaural Musical Sound Separation Based on Pitch and Common Amplitude Modulation