Measurement

Article	Citations
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic	524
Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network	320
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries	210
Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism	206
Few-shot transfer learning for intelligent fault diagnosis of machine	191
A hybrid deep-learning model for fault diagnosis of rolling bearings	188
An optimized VMD method and its applications in bearing fault diagnosis	181
Fault diagnosis of electric impact drills using thermal imaging	181
Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images	180
Digital image colorimetry on smartphone for chemical analysis: A review	175
Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning	174
Recent developments in biosensors for healthcare and biomedical applications: A review	168
A review of the application of deep learning in intelligent fault diagnosis of rotating machinery	159
Development of a YOLO-V3-based model for detecting defects on steel strip surface	158
Fault diagnosis of rotating machinery based on recurrent neural networks	144
Fiber-optic sensors based on Vernier effect	142
Structural health monitoring methods of cables in cable-stayed bridge: A review	131
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors	130
Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems	130
Deep learning and wavelet transform integrated approach for short-term solar PV power prediction	126
Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation	125
Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN	125
Rolling bearing fault diagnosis with combined convolutional neural networks and support vector machine	123
Combination of X-ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas-oil–water three phase flows	121
A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis	120

Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network	117
Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching	115
Predicting the compressive strength of concrete containing metakaolin with different properties using ANN	112
A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox	111
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning	110
Intelligent monitoring and diagnostics using a novel integrated model based on deep learning and multi-sensor feature fusion	109
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection	108
Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties	108
DCC-CenterNet: A rapid detection method for steel surface defects	107
Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing	107
A new bearing fault diagnosis method based on signal-to-image mapping and convolutional neural network	107
Fault diagnosis for small samples based on attention mechanism	106
Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis	105
Intelligent fault diagnosis of rolling bearings under imbalanced data conditions using attention-based deep learning method	105
A BiGRU method for remaining useful life prediction of machinery	104
Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms	104
An image recognition method for the deformation area of open-pit rock slopes under variable rainfall	102
RDD-YOLO: A modified YOLO for detection of steel surface defects	101
Simulation of hydraulic transplanting robot control system based on fuzzy PID controller	101
Bearing fault diagnosis based on EMD and improved Chebyshev distance in SDP image	101
Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application	100
Autoencoder-based representation learning and its application in intelligent fault diagnosis: A review	99
Split-core magnetoelectric current sensor and wireless current measurement application	99
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects	97
A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis	97
Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network	95
Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM	95
A CNN-SVM study based on selected deep features for grapevine leaves classification	94
A novel denoising method for vibration signal of hob spindle based on EEMD and grey theory	94
Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit	94
Long-term gear life prediction based on ordered neurons LSTM neural networks	93
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 method	93
Control framework for cooperative robots in smart home using bio-inspired neural network	93
Applicability of time-domain feature extraction methods and artificial intelligence in two-phase flow meters based on gamma-ray absorption technique	91
An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network	90
Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm	89
Deep learning-based tool wear prediction and its application for machining process using multi-scale feature fusion and channel attention mechanism	86
State-of-the-art review on advancements of data mining in structural health monitoring	85
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective	84
A convolutional neural network-based method for workpiece surface defect detection	82
Streamlined bridge inspection system utilizing unmanned aerial vehicles (UAVs) and machine learning	82
Investigation of microstructure of C-S-H and micro-mechanics of cement pastes under NH4NO3 dissolution by 29Si MAS NMR and microhardness	82
Stress relaxation behaviour of marble under cyclic weak disturbance and confining pressures	82
Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation	82
Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm	82
Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities	81
Tool wear mechanism and prediction in milling TC18 titanium alloy using deep learning	81
Geometrical deviation modeling and monitoring of 3D surface based on multi-output Gaussian process	80
Fault detection and diagnosis in electric motors using 1d convolutional neural networks with multi-channel vibration signals	80
Improved generative adversarial network for vibration-based fault diagnosis with imbalanced data	80

Deep convolution domain-adversarial transfer learning for fault diagnosis of rolling bearings	79
OORNet: A deep learning model for on-board condition monitoring and fault diagnosis of out-of-round wheels of high-speed trains	79
Light neural network with fewer parameters based on CNN for fault diagnosis of rotating machinery	79
Rolling bearing fault diagnosis based on composite multiscale permutation entropy and reverse cognitive fruit fly optimization algorithm – Extreme learning machine	78
Motor fault diagnosis using attention mechanism and improved adaboost driven by multi-sensor information	78
A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications	78
Nonlinear Lamb wave analysis for microdefect identification in mechanical structural health assessment	78
Failure prediction, monitoring and diagnosis methods for slewing bearings of large-scale wind turbine: A review	76
A KNN based random subspace ensemble classifier for detection and discrimination of high impedance fault in PV integrated power network	76
A novel intelligent fault diagnosis method of rolling bearing based on two-stream feature fusion convolutional neural network	75
A new tool wear condition monitoring method based on deep learning under small samples	75
Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network	74
An analysis of multi-GNSS observations tracked by recent Android smartphones and smartphone-only relative positioning results	74
Multiscale inverted residual convolutional neural network for intelligent diagnosis of bearings under variable load condition	72
Wearable heart rate monitoring intelligent sports bracelet based on Internet of things	71
Degradation assessment of bearings with trend-reconstruct-based features selection and gated recurrent unit network	71
Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions	71
Detection of coal and gangue based on improved YOLOv5.1 which embedded scSE module	70
Feature extraction method based on adaptive and concise empirical wavelet transform and its applications in bearing fault diagnosis	70
Improved uniform phase empirical mode decomposition and its application in machinery fault diagnosis	69
An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine	69
Deep learning-based damage detection of mining conveyor belt	67
Multi-scale convolutional network with channel attention mechanism for rolling bearing fault diagnosis	67
Prediction, monitoring, and interpretation of dam leakage flow via adaptative kernel extreme learning machine	66
Feature selection and classification in breast cancer prediction using IoT and machine learning	66
Joint distribution adaptation with diverse feature aggregation: A new transfer learning framework for bearing diagnosis across different machines	65
Autonomous pavement distress detection using ground penetrating radar and region-based deep learning	65
Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould algorithm	65
GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection	65
Gearbox fault diagnosis based on Multi-Scale deep residual learning and stacked LSTM model	65
Detection of gear fault severity based on parameter-optimized deep belief network using sparrow search algorithm	65
A survey of fault prediction and location methods in electrical energy distribution networks	64
Fast vehicle detection algorithm in traffic scene based on improved SSD	64
A fault diagnosis method based on improved convolutional neural network for bearings under variable working conditions	64
Human activity recognition in IoHT applications using Arithmetic Optimization Algorithm and deep learning	63
Fractal characteristics of acoustic emission of gas-bearing coal subjected to true triaxial loading	63
Symplectic weighted sparse support matrix machine for gear fault diagnosis	62
DTCNNMI: A deep twin convolutional neural networks with multi-domain inputs for strongly noisy diesel engine misfire detection	62
Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis	62
A deep learning approach to measure stress level in plants due to Nitrogen deficiency	62
Enhanced generative adversarial network for extremely imbalanced fault diagnosis of rotating machine	62
Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach	62
Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete	62
EEG emotion recognition model based on the LIBSVM classifier	61
Simulation of seepage flow through embankment dam by using a novel extended Kalman filter based neural network paradigm: Case study of Fontaine Gazelles Dam, Algeria	61
A novel fault diagnosis method of rotating machinery via VMD, CWT and improved CNN	61
IoT-based patient monitoring system for predicting heart disease using deep learning	61
Intelligent fault diagnosis of planetary gearbox based on adaptive normalized CNN under complex variable working conditions and data imbalance	60
Measuring human physiological indices for thermal comfort assessment through wearable devices: A review	60
Extreme learning Machine-based classifier for fault diagnosis of rotating Machinery using a residual network and continuous wavelet transform	60
Measuring crack width using a distributed fiber optic sensor based on optical frequency domain reflectometry	59
Semi-supervised graph convolutional network and its application in intelligent fault diagnosis of rotating machinery	59
An optimized railway fastener detection method based on modified Faster R-CNN	59
Wearable human motion posture capture and medical health monitoring based on wireless sensor networks	59
Homography-based measurement of bridge vibration using UAV and DIC method	58
Denoising method of ground-penetrating radar signal based on independent component analysis with multifractal spectrum	58
Optimized unsupervised deep learning assisted reconstructed coder in the on-nodule wearable sensor for human activity recognition	58
Gear rotational speed sensor based on FeCoSiB/Pb(Zr,Ti)O3 magnetoelectric composite	57
Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling	57
Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices	57
A remaining useful life prediction method for bearing based on deep neural networks	57
An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings	57
Ultra-high sensitivity SPR fiber sensor based on multilayer nanoparticle and Au film coupling enhancement	57
A novel entropy-based sparsity measure for prognosis of bearing defects and development of a sparsogram to select sensitive filtering band of an axial piston pump	57
A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing	56
Fibre-optic sensor and deep learning-based structural health monitoring systems for civil structures: A review	56
Variational transformer-based anomaly detection approach for multivariate time series	56
Effective crude oil price forecasting using new text-based and big-data-driven model	56
Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach	56
Pixel-level pavement crack segmentation with encoder-decoder network	56
A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks	56
Application of image technology on pavement distress detection: A review	56
Fabrication of an electrochemical mesalazine sensor based on ZIF-67	55
Measurement and prediction of tunnelling-induced ground settlement in karst region by using expanding deep learning method	55
Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification	55
Integrated approach based on flexible analytical wavelet transform and permutation entropy for fault detection in rotary machines	54
Fault diagnosis of multi-channel data by the CNN with the multilinear principal component analysis	54
Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures	54
A machine vision method for measurement of machining tool wear	54
A two-stage fault diagnosis methodology for rotating machinery combining optimized support vector data description and optimized support vector machine	54

Fault diagnosis of rolling bearing using marine predators algorithm-based support vector machine and topology learning and out-of-sample embedding	54
Fluorescent sensor arrays for metal ions detection: A review	54
Research on bearing fault diagnosis based on spectrum characteristics under strong noise interference	53
A large-scale sensor missing data imputation framework for dams using deep learning and transfer learning strategy	53
A novel deep multi-source domain adaptation framework for bearing fault diagnosis based on feature-level and task-specific distribution alignment	53
A machine learning approach for vibration-based multipoint tool insert health prediction on vertical machining centre (VMC)	52
A novel transfer learning method for bearing fault diagnosis under different working conditions	52
An improved inverse Gaussian process with random effects and measurement errors for RUL prediction of hydraulic piston pump	52
Surface bioelectric dry Electrodes: A review	52
A novel feature adaptive extraction method based on deep learning for bearing fault diagnosis	52
Electrostatic sensors – Their principles and applications	52
A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition and optimized SVM	51
ChickTrack – A quantitative tracking tool for measuring chicken activity	51
A hybrid prognostic strategy with unscented particle filter and optimized multiple kernel relevance vector machine for lithium-ion battery	51
A deep multi-signal fusion adversarial model based transfer learning and residual network for axial piston pump fault diagnosis	51
GPR B scan image analysis with deep learning methods	51
Obstacle detection of rail transit based on deep learning	50
An intelligent fault diagnosis approach based on Dempster-Shafer theory for hydraulic valves	50
Improved box-counting methods to directly estimate the fractal dimension of a rough surface	50
A recursive sparse representation strategy for bearing fault diagnosis	50
RENet: Rectangular convolution pyramid and edge enhancement network for salient object detection of pavement cracks	50
Scopes, challenges and approaches of energy harvesting for wireless sensor nodes in machine condition monitoring systems: A review	50
Electrical fault detection in three-phase induction motor using deep network-based features of thermograms	50
Milling tool wear prediction using multi-sensor feature fusion based on stacked sparse autoencoders	49
A multi-source ensemble domain adaptation method for rotary machine fault diagnosis	49
Optimal design of remote field eddy current testing probe for ferromagnetic pipeline inspection	49
MSC-DNet: An efficient detector with multi-scale context for defect detection on strip steel surface	49
An intelligent model for the prediction of the compressive strength of cementitious composites with ground granulated blast furnace slag based on ultrasonic pulse velocity measurements	49
A novel mechanical fault signal feature extraction method based on unsaturated piecewise tri-stable stochastic resonance	48
Compression-shear failure properties and acoustic emission (AE) characteristics of rocks in variable angle shear and direct shear tests	48
Persian sign language recognition using IMU and surface EMG sensors	48
A novel pipeline leak detection approach independent of prior failure information	48
Adaptive variational mode decomposition based on Archimedes optimization algorithm and its application to bearing fault diagnosis	48
Wireless ECG and cardiac monitoring systems: State of the art, available commercial devices and useful electronic components	48
Research on fault diagnosis technology of centrifugal pump blade crack based on PCA and GMM	48
A compound fault diagnosis method of rolling bearing based on wavelet scattering transform and improved soft threshold denoising algorithm	48
A fault diagnosis method based on one-dimensional data enhancement and convolutional neural network	48
A deep convolutional neural network based computer aided diagnosis system for the prediction of Alzheimer's disease in MRI images	47
Finite element analysis in fused deposition modeling research: A literature review	47
Composite fault diagnosis for rolling bearing based on parameter-optimized VMD	47
Leaf disease segmentation and classification of Jatropha Curcas L. and Pongamia Pinnata L. biofuel plants using computer vision based approaches	47
Multiphase Flow Meters Targeting Oil & Gas Industries	47
Cutting forces and temperature measurements in cryogenic assisted turning of AA2024-T351 alloy: An experimentally validated simulation approach	47
A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling	47
A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions	47
An accurate and distraction-free vision-based structural displacement measurement method integrating Siamese network based tracker and correlation-based template matching	47
Strain and displacement measurement based on distributed fibre optic sensing (DFOS) system integrated with FRP composite sandwich panel	46
Automatic detection of asphalt pavement thickness: A method combining GPR images and improved Canny algorithm	46
Synchrosqueezing extracting transform and its application in bearing fault diagnosis under non-stationary conditions	46
Diagnosis of stator fault severity in induction motor based on discrete wavelet analysis	46
Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy	46
Hybrid multimodal fusion with deep learning for rolling bearing fault diagnosis	46
A lightweight deep learning system for automatic detection of blood cancer	46
Experimental investigation and optimization of abrasive water jet machining parameter on multi-walled carbon nanotube doped epoxy/carbon laminate	46
Real-time traffic signal control with swarm optimization methods	46
Pavement crack detection algorithm based on generative adversarial network and convolutional neural network under small samples	45
Unsupervised machine fault diagnosis for noisy domain adaptation using marginal denoising autoencoder based on acoustic signals	45
Mechanical fault time series prediction by using EFMSAE-LSTM neural network	45
Point cloud registration algorithm based on curvature feature similarity	45
Optimizing turning parameters in the machining of AM alloy using Taguchi methodology	45
Design, implementation, and metrological characterization of a wearable, integrated AR-BCI hands-free system for health 4.0 monitoring	45
A performance enhanced time-varying morphological filtering method for bearing fault diagnosis	45
A deep attention residual neural network-based remaining useful life prediction of machinery	45
Design criteria and performance analysis of a smart portable device for leak detection in water transmission mains	45
Strain integration-based soil shear displacement measurement using high-resolution strain sensing technology	45
Detection of lung nodule and cancer using novel Mask-3 FCM and TWEDLNN algorithms	45
Intelligent fault diagnosis and visual interpretability of rotating machinery based on residual neural network	44
A novel chatter detection method for milling using deep convolution neural networks	44
Measurement methods of 3D shape of large-scale complex surfaces based on computer vision: A review	44
Principles and recent developments in optical and electrochemical sensing of dopamine: A comprehensive review	44
Relating groundwater levels with meteorological parameters using ANN technique	44
Rolling bearing fault diagnosis utilizing variational mode decomposition based fractal dimension estimation method	44
Combination bidirectional long short-term memory and capsule network for rotating machinery fault diagnosis	44
Applications of new technologies for monitoring and predicting grains quality stored: Sensors, Internet of Things, and Artificial Intelligence	44
A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM	44
Magnetic flux detection and identification of bridge cable metal area loss damage	44
Review of high temperature measurement technology based on sapphire optical fiber	44
Journal bearing seizure degradation assessment and remaining useful life prediction based on long short-term memory neural network	44
An anti-noise one-dimension convolutional neural network learning model applying on bearing fault diagnosis	44
Unsupervised domain adaptation via enhanced transfer joint matching for bearing fault diagnosis	44
An amended grey wolf optimization with mutation strategy to diagnose bucket defects in Pelton wheel	44
An EEMD-SVD-LWT algorithm for denoising a lidar signal	44
Rapid surface defects detection in wire and arc additive manufacturing based on laser profilometer	44
Blockage and cavitation detection in centrifugal pumps from dynamic pressure signal using deep learning algorithm	43
Based on wearable sensory device in 3D-printed humanoid: A new real-time sign language recognition system	43
Fault feature extraction for rolling bearings based on parameter-adaptive variational mode decomposition and multi-point optimal minimum entropy deconvolution	43
A temperature field reconstruction method based on acoustic thermometry	43
Bridge monitoring using multi-GNSS observations with high cutoff elevations: A case study	43
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction	43
Overview and analysis of MEMS Coriolis vibratory ring gyroscope	43
A fractographic study exploring the fracture surface topography of S355J2 steel after pseudo-random bending-torsion fatigue tests	43
Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent techniques	42
Abrasive tool wear prediction based on an improved hybrid difference grey wolf algorithm for optimizing SVM	42
Machining Behaviour, surface integrity and tool wear analysis in environment friendly turning of Inconel 718 alloy	42
Multi-component fault diagnosis of wheelset-bearing using shift-invariant impulsive dictionary matching pursuit and sparrow search algorithm	42