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	499
Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network	263
A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries	174
Fault diagnosis of electric impact drills using thermal imaging	171
An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image	168
Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism	159
A hybrid deep-learning model for fault diagnosis of rolling bearings	157
Few-shot transfer learning for intelligent fault diagnosis of machine	153
Deep learning for prognostics and health management: State of the art, challenges, and opportunities	146
Convolutional neural network based bearing fault diagnosis of rotating machine using thermal images	143
Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine	142
An optimized VMD method and its applications in bearing fault diagnosis	142
Digital image colorimetry on smartphone for chemical analysis: A review	142
Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning	139
Latest developments in gear defect diagnosis and prognosis: A review	138
Recent developments in biosensors for healthcare and biomedical applications: A review	133
Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network	130
Fiber-optic sensors based on Vernier effect	123
Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network	120
Fault diagnosis of rotating machinery based on recurrent neural networks	118
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	117
Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation	113
Multisensor bearing fault diagnosis based on one-dimensional convolutional long short-term memory networks	110
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors	109
Development of a YOLO-V3-based model for detecting defects on steel strip surface	106

Deep learning and wavelet transform integrated approach for short-term solar PV power prediction	103
An integrated method based on hybrid grey wolf optimizer improved variational mode decomposition and deep neural network for fault diagnosis of rolling bearing	103
Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties	102
Structural health monitoring methods of cables in cable-stayed bridge: A review	102
Rolling bearing fault diagnosis with combined convolutional neural networks and support vector machine	101
A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis	101
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning	98
A new bearing fault diagnosis method based on signal-to-image mapping and convolutional neural network	97
Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems	97
Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing	96
A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox	94
Dual-sensing and dual-frequency microwave SRR sensor for liquid samples permittivity detection	94
Split-core magnetoelectric current sensor and wireless current measurement application	94
Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network	93
Predicting the compressive strength of concrete containing metakaolin with different properties using ANN	93
Development of tool condition monitoring system in end milling process using wavelet features and Hoelder’s exponent with machine learning algorithms	92
Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching	91
An image recognition method for the deformation area of open-pit rock slopes under variable rainfall	91
Control framework for cooperative robots in smart home using bio-inspired neural network	90
Automatic defect detection and segmentation of tunnel surface using modified Mask R-CNN	90
Intelligent monitoring and diagnostics using a novel integrated model based on deep learning and multi-sensor feature fusion	90
Skin disease detection and segmentation using dynamic graph cut algorithm and classification through Naive Bayes classifier	88
Applicability of time-domain feature extraction methods and artificial intelligence in two-phase flow meters based on gamma-ray absorption technique	87
Bearing fault diagnosis based on EMD and improved Chebyshev distance in SDP image	86
Bearing fault diagnosis and prognosis using data fusion based feature extraction and feature selection	86
Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis	85
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	85
Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network	85
Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects	84
A BiGRU method for remaining useful life prediction of machinery	83
Simulation of hydraulic transplanting robot control system based on fuzzy PID controller	82
Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM	82
Intelligent fault diagnosis of rolling bearings under imbalanced data conditions using attention-based deep learning method	82
Evaluation of turned and milled surfaces roughness using convolutional neural network	81
A novel denoising method for vibration signal of hob spindle based on EEMD and grey theory	81
A review of the application of deep learning in intelligent fault diagnosis of rotating machinery	79
A lightweight neural network with strong robustness for bearing fault diagnosis	79
A CNN-SVM study based on selected deep features for grapevine leaves classification	78
Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm	78
Optimization and analysis of process parameters for flank wear, cutting forces and vibration in turning of AISI 5140: A comprehensive study	78
An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network	78
Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction	77
A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis	77
DCC-CenterNet: A rapid detection method for steel surface defects	76
Long-term gear life prediction based on ordered neurons LSTM neural networks	75
Deep convolution domain-adversarial transfer learning for fault diagnosis of rolling bearings	75
Research on sparsity indexes for fault diagnosis of rotating machinery	75
Nonlinear Lamb wave analysis for microdefect identification in mechanical structural health assessment	74
Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm	74
Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit	74

Vibration signal denoising for structural health monitoring by residual convolutional neural networks	73
A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications	73
Multi-fault diagnosis of rotating machinery based on deep convolution neural network and support vector machine	73
Fault diagnosis for small samples based on attention mechanism	72
Deep learning-based tool wear prediction and its application for machining process using multi-scale feature fusion and channel attention mechanism	72
Wrist-worn and chest-strap wearable devices: Systematic review on accuracy and metrological characteristics	72
Multi-objective optimization using Taguchi based grey relational analysis in turning of Rock dust reinforced Aluminum MMC	71
Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation	70
Fault diagnosis for rolling bearing based on VMD-FRFT	70
Structural damage identification based on unsupervised feature-extraction via Variational Auto-encoder	70
Motor fault diagnosis using attention mechanism and improved adaboost driven by multi-sensor information	69
Review of real-time three-dimensional shape measurement techniques	69
Geometrical deviation modeling and monitoring of 3D surface based on multi-output Gaussian process	69
Remaining useful life prediction for Lithium-ion batteries using fractional Brownian motion and Fruit-fly Optimization Algorithm	69
Investigation of microstructure of C-S-H and micro-mechanics of cement pastes under NH4NO3 dissolution by 29Si MAS NMR and microhardness	68
Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities	68
Measurement and multi-response optimization of turning parameters for magnesium alloy using hybrid combination of Taguchi-GRA-PCA technique	68
Failure prediction, monitoring and diagnosis methods for slewing bearings of large-scale wind turbine: A review	67
Improved generative adversarial network for vibration-based fault diagnosis with imbalanced data	67
Rolling bearing fault diagnosis based on composite multiscale permutation entropy and reverse cognitive fruit fly optimization algorithm – Extreme learning machine	66
Streamlined bridge inspection system utilizing unmanned aerial vehicles (UAVs) and machine learning	66
State-of-the-art review on advancements of data mining in structural health monitoring	66
Light neural network with fewer parameters based on CNN for fault diagnosis of rotating machinery	66
Degradation assessment of bearings with trend-reconstruct-based features selection and gated recurrent unit network	65
Optical fiber sensors for measurement of heavy metal ion concentration: A review	65
Research on rolling bearing state health monitoring and life prediction based on PCA and Internet of things with multi-sensor	64
An analysis of multi-GNSS observations tracked by recent Android smartphones and smartphone-only relative positioning results	64
Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application	64
A simple data augmentation algorithm and a self-adaptive convolutional architecture for few-shot fault diagnosis under different working conditions	64
A novel method based on nonlinear auto-regression neural network and convolutional neural network for imbalanced fault diagnosis of rotating machinery	64
Tool wear mechanism and prediction in milling TC18 titanium alloy using deep learning	63
Predicting compressive strength of manufactured-sand concrete using conventional and metaheuristic-tuned artificial neural network	63
OORNet: A deep learning model for on-board condition monitoring and fault diagnosis of out-of-round wheels of high-speed trains	63
A new tool wear condition monitoring method based on deep learning under small samples	62
Data synthesis using dual discriminator conditional generative adversarial networks for imbalanced fault diagnosis of rolling bearings	62
Autoencoder-based representation learning and its application in intelligent fault diagnosis: A review	62
GPR laboratory tests and numerical models to characterize cracks in cement concrete specimens, exemplifying damage in rigid pavement	62
Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions	61
Feature extraction method based on adaptive and concise empirical wavelet transform and its applications in bearing fault diagnosis	60
Improved uniform phase empirical mode decomposition and its application in machinery fault diagnosis	60
Wearable heart rate monitoring intelligent sports bracelet based on Internet of things	60
A novel intelligent fault diagnosis method of rolling bearing based on two-stream feature fusion convolutional neural network	59
Bearing fault diagnosis with varying conditions using angular domain resampling technology, SDP and DCNN	59
Symplectic weighted sparse support matrix machine for gear fault diagnosis	59
DTCNNMI: A deep twin convolutional neural networks with multi-domain inputs for strongly noisy diesel engine misfire detection	59
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective	59
Multiscale inverted residual convolutional neural network for intelligent diagnosis of bearings under variable load condition	59
A convolutional neural network-based method for workpiece surface defect detection	58
Stress relaxation behaviour of marble under cyclic weak disturbance and confining pressures	58
Deep learning-based damage detection of mining conveyor belt	58
Autonomous pavement distress detection using ground penetrating radar and region-based deep learning	58
Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis	57
Optimized unsupervised deep learning assisted reconstructed coder in the on-nodule wearable sensor for human activity recognition	57
Bearing defect identification by swarm decomposition considering permutation entropy measure and opposition-based slime mould algorithm	56
Fault diagnosis of reciprocating compressor using a novel ensemble empirical mode decomposition-convolutional deep belief network	56
Fault detection and diagnosis in electric motors using 1d convolutional neural networks with multi-channel vibration signals	56
Fractal characteristics of acoustic emission of gas-bearing coal subjected to true triaxial loading	55
Detection of gear fault severity based on parameter-optimized deep belief network using sparrow search algorithm	55
Deep balanced domain adaptation neural networks for fault diagnosis of planetary gearboxes with limited labeled data	54
Gearbox fault diagnosis based on Multi-Scale deep residual learning and stacked LSTM model	54
Prediction, monitoring, and interpretation of dam leakage flow via adaptative kernel extreme learning machine	54
Defect detection method for rail surface based on line-structured light	53
Feature selection and classification in breast cancer prediction using IoT and machine learning	53
A deep learning approach to measure stress level in plants due to Nitrogen deficiency	53
Measuring crack width using a distributed fiber optic sensor based on optical frequency domain reflectometry	53
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	53
Gear rotational speed sensor based on FeCoSiB/Pb(Zr,Ti)O3 magnetoelectric composite	52
Detection of coal and gangue based on improved YOLOv5.1 which embedded scSE module	52
Similarity-based deep learning approach for remaining useful life prediction	52
Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete	52
A KNN based random subspace ensemble classifier for detection and discrimination of high impedance fault in PV integrated power network	52
Denoising method of ground-penetrating radar signal based on independent component analysis with multifractal spectrum	52
Ultra-high sensitivity SPR fiber sensor based on multilayer nanoparticle and Au film coupling enhancement	51
Wearable human motion posture capture and medical health monitoring based on wireless sensor networks	51
Measurement and prediction of tunnelling-induced ground settlement in karst region by using expanding deep learning method	51
EEG emotion recognition model based on the LIBSVM classifier	51
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	51
Integrated approach based on flexible analytical wavelet transform and permutation entropy for fault detection in rotary machines	51
An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine	51
Homography-based measurement of bridge vibration using UAV and DIC method	50

Long short-term memory network with multi-resolution singular value decomposition for prediction of bearing performance degradation	50
Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices	50
Joint distribution adaptation with diverse feature aggregation: A new transfer learning framework for bearing diagnosis across different machines	50
Extreme learning Machine-based classifier for fault diagnosis of rotating Machinery using a residual network and continuous wavelet transform	50
Effective crude oil price forecasting using new text-based and big-data-driven model	50
Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling	50
Fabrication of an electrochemical mesalazine sensor based on ZIF-67	49
Fungal fermentation inducing improved nutritional qualities associated with altered secondary protein structure of soybean meal determined by FTIR spectroscopy	49
Fault diagnosis of rolling bearing using marine predators algorithm-based support vector machine and topology learning and out-of-sample embedding	49
A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing	49
Enhanced generative adversarial network for extremely imbalanced fault diagnosis of rotating machine	49
Intelligent fault diagnosis of planetary gearbox based on adaptive normalized CNN under complex variable working conditions and data imbalance	49
A survey of fault prediction and location methods in electrical energy distribution networks	49
Surface damage detection for steel wire ropes using deep learning and computer vision techniques	49
A machine vision method for measurement of machining tool wear	49
Semi-supervised graph convolutional network and its application in intelligent fault diagnosis of rotating machinery	48
A machine learning approach for vibration-based multipoint tool insert health prediction on vertical machining centre (VMC)	48
Measuring human physiological indices for thermal comfort assessment through wearable devices: A review	47
An optimized railway fastener detection method based on modified Faster R-CNN	47
Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures	47
Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification	47
An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings	47
A novel transfer learning method for bearing fault diagnosis under different working conditions	47
Human activity recognition in IoHT applications using Arithmetic Optimization Algorithm and deep learning	47
Research on bearing fault diagnosis based on spectrum characteristics under strong noise interference	46
Application of image technology on pavement distress detection: A review	46
Fault diagnosis of multi-channel data by the CNN with the multilinear principal component analysis	46
A fault diagnosis method based on improved convolutional neural network for bearings under variable working conditions	46
Traffic congestion monitoring using an improved kNN strategy	46
A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks	46
Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models	46
Pixel-level pavement crack segmentation with encoder-decoder network	46
A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition and optimized SVM	45
Electrostatic sensors – Their principles and applications	45
An improved inverse Gaussian process with random effects and measurement errors for RUL prediction of hydraulic piston pump	44
Shape sensing of variable cross-section beam using the inverse finite element method and isogeometric analysis	44
A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling	44
Obstacle detection of rail transit based on deep learning	44
A large-scale sensor missing data imputation framework for dams using deep learning and transfer learning strategy	44
Persian sign language recognition using IMU and surface EMG sensors	44
Application of measurement systems in tool condition monitoring of Milling: A review of measurement science approach	44
Optimal design of remote field eddy current testing probe for ferromagnetic pipeline inspection	44
Vehicle weight identification system for spatiotemporal load distribution on bridges based on non-contact machine vision technology and deep learning algorithms	44
A remaining useful life prediction method for bearing based on deep neural networks	44
A two-stage fault diagnosis methodology for rotating machinery combining optimized support vector data description and optimized support vector machine	44
A hybrid prognostic strategy with unscented particle filter and optimized multiple kernel relevance vector machine for lithium-ion battery	44
Detection of lung nodule and cancer using novel Mask-3 FCM and TWEDLNN algorithms	43
Wireless ECG and cardiac monitoring systems: State of the art, available commercial devices and useful electronic components	43
Visualization of volatomic profiles for early detection of fungal infection on storage Jasmine brown rice using electronic nose coupled with chemometrics	43
GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection	43
Multi-scale convolutional network with channel attention mechanism for rolling bearing fault diagnosis	43
Precise point positioning with ambiguity resolution using an external survey-grade antenna enhanced dual-frequency android GNSS data	42
GPR B scan image analysis with deep learning methods	42
Evaluation of technical feasibility and environmental impact of Calophyllum Inophyllum (Polanga) oil based bio-dielectric fluid for green EDM	42
A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine	42
Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy	42
Journal bearing seizure degradation assessment and remaining useful life prediction based on long short-term memory neural network	42
RDD-YOLO: A modified YOLO for detection of steel surface defects	42
An intelligent fault diagnosis approach based on Dempster-Shafer theory for hydraulic valves	42
Electrical fault detection in three-phase induction motor using deep network-based features of thermograms	42
Design, implementation, and metrological characterization of a wearable, integrated AR-BCI hands-free system for health 4.0 monitoring	42
Strain integration-based soil shear displacement measurement using high-resolution strain sensing technology	41
Fibre-optic sensor and deep learning-based structural health monitoring systems for civil structures: A review	41
A multi-source ensemble domain adaptation method for rotary machine fault diagnosis	41
RENet: Rectangular convolution pyramid and edge enhancement network for salient object detection of pavement cracks	41
Scopes, challenges and approaches of energy harvesting for wireless sensor nodes in machine condition monitoring systems: A review	41
An amended grey wolf optimization with mutation strategy to diagnose bucket defects in Pelton wheel	41
A novel feature adaptive extraction method based on deep learning for bearing fault diagnosis	41
Synchrosqueezing extracting transform and its application in bearing fault diagnosis under non-stationary conditions	41
Rolling bearing fault diagnosis utilizing variational mode decomposition based fractal dimension estimation method	41
A novel deep multi-source domain adaptation framework for bearing fault diagnosis based on feature-level and task-specific distribution alignment	41
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	41
A recursive sparse representation strategy for bearing fault diagnosis	41
Improved box-counting methods to directly estimate the fractal dimension of a rough surface	41
An electrochemical sensor for creatinine based on carbon nanotubes/folic acid /silver nanoparticles modified electrode	40
Unsupervised domain adaptation via enhanced transfer joint matching for bearing fault diagnosis	40
Design criteria and performance analysis of a smart portable device for leak detection in water transmission mains	40
Cutting forces and temperature measurements in cryogenic assisted turning of AA2024-T351 alloy: An experimentally validated simulation approach	40
Combination bidirectional long short-term memory and capsule network for rotating machinery fault diagnosis	40
Compression-shear failure properties and acoustic emission (AE) characteristics of rocks in variable angle shear and direct shear tests	40
Surface bioelectric dry Electrodes: A review	40
Unsupervised machine fault diagnosis for noisy domain adaptation using marginal denoising autoencoder based on acoustic signals	40
Research on fault diagnosis technology of centrifugal pump blade crack based on PCA and GMM	40
Fast vehicle detection algorithm in traffic scene based on improved SSD	40
Embedded smart PZT-based sensor for internal damage detection in concrete under applied compression	40
Bearings fault detection using wavelet transform and generalized Gaussian density modeling	40
Remaining useful life prediction of rolling bearing using fractal theory	40
Milling tool wear prediction using multi-sensor feature fusion based on stacked sparse autoencoders	39
Real-time traffic signal control with swarm optimization methods	39
A novel mechanical fault signal feature extraction method based on unsaturated piecewise tri-stable stochastic resonance	39
Fluorescent sensor arrays for metal ions detection: A review	39
ChickTrack – A quantitative tracking tool for measuring chicken activity	39
Variational transformer-based anomaly detection approach for multivariate time series	38
Rapid surface defects detection in wire and arc additive manufacturing based on laser profilometer	38
Three-dimensional DSMC simulation of thermal Knudsen force in micro gas actuator for mass analysis of gas mixture	38