Citation Impact
Citing Papers
Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
2016
MD‐based approaches for system health monitoring: a review
2017
A survey on big data-enabled innovative online education systems during the COVID-19 pandemic
2022 Standout
Towards a large-scale model of patient-specific epileptic spike-wave discharges
2012
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Deep residual learning-based fault diagnosis method for rotating machinery
2018
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
2013 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
ChatGPT: A revolutionary tool for teaching and learning mathematics
2023 Standout
Anomaly Detection and Fault Prognosis for Bearings
2016
Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
2019
Fault Detection and Classification Based on Co-training of Semisupervised Machine Learning
2017
Multi-bearing remaining useful life collaborative prediction: A deep learning approach
2017
Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors
2015
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning
2017
A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem
2016
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
2017 Standout
Tangible Service Automation: Decomposing the Technology-Enabled Engagement Process (TEEP) for Augmented Reality
2020
Adaptive Ensembling of Semi-Supervised Clustering Solutions
2017
Reinforcement learning for building controls: The opportunities and challenges
2020 Standout
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks
2018 Standout
Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism
2019
A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery
2018
Low speed bearing fault diagnosis using acoustic emission sensors
2015
An enhancement deep feature fusion method for rotating machinery fault diagnosis
2016
Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis
2015
Deep learning for smart manufacturing: Methods and applications
2018 Standout
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
2017 Standout
Artificial intelligence, bias and clinical safety
2019 Standout
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification
2017
Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes
2017
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
Diagnosis of the three-phase induction motor using thermal imaging
2016 Standout
Low-Rank Latent Pattern Approximation with Applications to Robust Image Classification
2017
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
2020
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
Generalizable occupant-driven optimization model for domestic hot water production in NZEB
2016
A Survey of Unsupervised Generative Models for Exploratory Data Analysis and Representation Learning
2021
Learning Balanced and Unbalanced Graphs via Low-Rank Coding
2014
Misfire and valve clearance faults detection in the combustion engines based on a multi-sensor vibration signal monitoring
2018
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks
2018
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
2017
Rise of the Machines? Customer Engagement in Automated Service Interactions
2021 Standout
HVSRMS localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault
2018
Diversified learning for continuous hidden Markov models with application to fault diagnosis
2015
On the bi-dimensional variational decomposition applied to nonstationary vibration signals for rolling bearing crack detection in coal cutters
2016
Survey of intrusion detection systems: techniques, datasets and challenges
2019 Standout
Remaining useful life estimation in prognostics using deep convolution neural networks
2017 Standout
GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition
2019 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
2016
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis–Taguchi system
2013
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
A Survey on semi-supervised feature selection methods
2016
Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis
2017
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions
2016
Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery
2018
A survey on ensemble learning
2019 Standout
Sparse classification based on dictionary learning for planet bearing fault identification
2018
20 years of Electronic Commerce Research
2021 Standout
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Fault diagnosis of single-phase induction motor based on acoustic signals
2018 Standout
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning
2018 Standout
Drivetrain Gearbox Fault Diagnosis: Vibration- and Current-Based Approaches
2018
Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine
2016
Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis
2018
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
A survey on semi-supervised learning
2019 Standout
Fault Diagnosis of Bearing Damage by Means of the Linear Discriminant Analysis of Stator Current Features From the Frequency Selection
2016
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Estimating city-level poverty rate based on e-commerce data with machine learning
2020
Structurally Incoherent Low-Rank 2DLPP for Image Classification
2018
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation
2018
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
2017 Standout
Statistical Spectral Analysis for Fault Diagnosis of Rotating Machines
2017
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis
2014
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation
2018
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system
2017
A survey on data preprocessing for data stream mining: Current status and future directions
2017
Bearing Fault Diagnosis Based on Domain Adaptation Using Transferable Features under Different Working Conditions
2018
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
Progressive Semisupervised Learning of Multiple Classifiers
2017
Multiobjective Semisupervised Classifier Ensemble
2018
Two-stage feature selection for bearing fault diagnosis based on dual-tree complex wavelet transform and empirical mode decomposition
2015
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines
2018
Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals
2018
Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning
2023 Standout
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
2016
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis
2018
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification
2018
Fuzziness based semi-supervised learning approach for intrusion detection system
2016
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD
2017
Low Complexity Motor Current Signature Analysis Using Sub-Nyquist Strategy With Reduced Data Length
2017
Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning
2023 Standout
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
2018
An Enhancement Deep Feature Extraction Method for Bearing Fault Diagnosis Based on Kernel Function and Autoencoder
2018
Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models
2021 Standout
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning
2018
Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis
2016
Works of Mingbo Zhao being referenced
Conditional Likelihood Maximisation: A Unifying Framework for Mutual Information Feature Selection
2012
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction
2014
Similarity preserving low-rank representation for enhanced data representation and effective subspace learning
2014
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification
2012
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification
2016
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification
2015
A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition
2011
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification
2013
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction
2012
Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction
2017
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction
2015
Induction machine fault detection using clone selection programming
2008
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation
2016
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction
2011
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood
2014
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification
2014
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization
2012
Bilinear low-rank coding framework and extension for robust image recovery and feature representation
2015
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis
2013