Measurement

Papers
(The H4-Index of Measurement is 74. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic494
Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network255
Robust detection for network intrusion of industrial IoT based on multi-CNN fusion173
Fault diagnosis of electric impact drills using thermal imaging170
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries166
An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image166
Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism155
A hybrid deep-learning model for fault diagnosis of rolling bearings151
Few-shot transfer learning for intelligent fault diagnosis of machine150
Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images140
Digital image colorimetry on smartphone for chemical analysis: A review139
Deep learning for prognostics and health management: State of the art, challenges, and opportunities138
Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine138
Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning137
An optimized VMD method and its applications in bearing fault diagnosis136
Latest developments in gear defect diagnosis and prognosis: A review134
A data-driven model for milling tool remaining useful life prediction with convolutional and stacked LSTM network129
Recent developments in biosensors for healthcare and biomedical applications: A review128
Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network127
Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis124
Fiber-optic sensors based on Vernier effect121
Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network116
Combination of X-ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas-oil–water three phase flows115
Fault diagnosis of rotating machinery based on recurrent neural networks111
Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation110
Multisensor bearing fault diagnosis based on one-dimensional convolutional long short-term memory networks108
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors105
An integrated method based on hybrid grey wolf optimizer improved variational mode decomposition and deep neural network for fault diagnosis of rolling bearing101
Development of a YOLO-V3-based model for detecting defects on steel strip surface101
Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties100
Structural health monitoring methods of cables in cable-stayed bridge: A review99
Deep learning and wavelet transform integrated approach for short-term solar PV power prediction97
A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis97
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning97
A new bearing fault diagnosis method based on signal-to-image mapping and convolutional neural network96
Rolling bearing fault diagnosis with combined convolutional neural networks and support vector machine96
Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing95
Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems93
Dual-sensing and dual-frequency microwave SRR sensor for liquid samples permittivity detection92
Split-core magnetoelectric current sensor and wireless current measurement application92
A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox91
An image recognition method for the deformation area of open-pit rock slopes under variable rainfall90
Predicting the compressive strength of concrete containing metakaolin with different properties using ANN90
Control framework for cooperative robots in smart home using bio-inspired neural network89
Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network89
Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms89
Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching89
Applicability of time-domain feature extraction methods and artificial intelligence in two-phase flow meters based on gamma-ray absorption technique87
Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN87
Intelligent monitoring and diagnostics using a novel integrated model based on deep learning and multi-sensor feature fusion86
Evaluation of fracture processes under shear with the use of DIC technique in fly ash concrete and accurate measurement of crack path lengths with the use of a new crack tip tracking method85
Bearing fault diagnosis based on EMD and improved Chebyshev distance in SDP image85
Skin disease detection and segmentation using dynamic graph cut algorithm and classification through Naive Bayes classifier84
Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network83
Simulation of hydraulic transplanting robot control system based on fuzzy PID controller82
Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis81
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection81
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects81
A BiGRU method for remaining useful life prediction of machinery79
A lightweight neural network with strong robustness for bearing fault diagnosis79
PolSAR image segmentation based on feature extraction and data compression using Weighted Neighborhood Filter Bank and Hidden Markov random field-expectation maximization79
Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM79
Intelligent fault diagnosis of rolling bearings under imbalanced data conditions using attention-based deep learning method79
Evaluation of turned and milled surfaces roughness using convolutional neural network77
Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm77
Optimization and analysis of process parameters for flank wear, cutting forces and vibration in turning of AISI 5140: A comprehensive study77
An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network77
A novel denoising method for vibration signal of hob spindle based on EEMD and grey theory76
Long-term gear life prediction based on ordered neurons LSTM neural networks74
Deep convolution domain-adversarial transfer learning for fault diagnosis of rolling bearings74
Research on sparsity indexes for fault diagnosis of rotating machinery74
Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm74
A CNN-SVM study based on selected deep features for grapevine leaves classification74
Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction74
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