Citation Impact
Citing Papers
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Degradation Trend Estimation and Prognostics for Low Speed Gear Lifetime
2018
A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis
2017
A survey on internet of vehicles: Applications, security issues & solutions
2019 Standout
A thorough analysis of renewable hydrogen projects development in Uzbekistan using MCDM methods
2021 Standout
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
Diagnosis of the three-phase induction motor using thermal imaging
2016 Standout
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network
2017
Rolling element bearing fault diagnosis for rotating machinery using vibration spectrum imaging and convolutional neural networks
2019
A two-stage feature selection and intelligent fault diagnosis method for rotating machinery using hybrid filter and wrapper method
2017
Two-Stream Convolutional Neural Network for Video Action Recognition
2021
Evaluation of hydrogen production by wind energy for agricultural and industrial sectors
2019
Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks
2018
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
Fault diagnosis of single-phase induction motor based on acoustic signals
2018 Standout
Advanced lightweight encryption algorithms for IoT devices: survey, challenges and solutions
2017
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems
2018
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Diagnostics of stator faults of the single-phase induction motor using thermal images, MoASoS and selected classifiers
2016
Diagnosis of stator faults of the single-phase induction motor using acoustic signals
2016
Use of hybrid MCDM methods for site location of solar-powered hydrogen production plants in Uzbekistan
2022 Standout
Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder‐Based Deep Neural Network
2018
Low Complexity Motor Current Signature Analysis Using Sub-Nyquist Strategy With Reduced Data Length
2017
Deep Learning for Intelligent Human–Computer Interaction
2022 Standout
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network
2019
Technical and economic analysis of wind energy potential in Uzbekistan
2019
Works of Md. Rashedul Islam being referenced
Acoustic emission sensor network based fault diagnosis of induction motors using a gabor filter and multiclass support vector machines
2016
Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors
2015
Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model
2020
Evaluation of wind energy potential in Morocco's coastal regions
2017
A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics
2016