Journal of Intelligent Manufacturing

Papers
(The median citation count of Journal of Intelligent Manufacturing is 6. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Structured stacked autoencoder with knowledge sharing for quality-related fault detection based on HSIC sparsity block division279
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning247
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction200
Surface reconstruction of glass bottles using neural implicit representations for manufacturing system176
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization167
Digital Twin and web services for robotic deburring in intelligent manufacturing159
From framework to industrial implementation: the digital twin in process planning153
Reverse engineering for programmable logic controller structure estimation via white box networks123
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection113
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network107
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds95
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity94
Assessing quality risk scores using explainable artificial intelligence for advanced vision inspection93
Detection and localization system for surface defects of automotive forgings based on machine vision90
Random convolution layer: an auxiliary method to improve fault diagnosis performance84
Automated neural network generation for industrial datasets, application to laser powder bed fusion83
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge81
Blockchain-based intelligent equipment assessment in manufacturing industry80
Imbalanced fault diagnosis based on semi-supervised ensemble learning74
Warpage detection in 3D printing of polymer parts: a deep learning approach58
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles57
Real-time monitoring of molten zinc splatter using machine learning-based computer vision55
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries55
Dta-qc: an AI-driven framework for adaptive quality control and intelligent test optimization in 5 G manufacturing54
WeldNet: a multimodal deep learning framework with validated synthetic augmentation for resistance spot weld quality assessment51
Federated learning-based collaborative manufacturing for complex parts51
AI agent-driven process automation for dynamic production efficiency and intelligent equipment integration51
Stable pushing in narrow passage environment using a modified hybrid A* algorithm49
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning49
Machining tool identification utilizing temporal 3D point clouds49
Motion stage precision prediction for photonic integrated circuit assembly49
Cross-scene object relationship-driven object detection for flexible printed circuit production48
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations47
Combining human guidance and structured task execution during physical human–robot collaboration47
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing43
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation43
Machine-learning-driven synergistic optimization of multi-objective mechanical properties in steel materials43
A chip inspection system based on a multiscale subarea attention network43
Explainable neural network for time series-based condition monitoring in sheet metal shearing43
Reinforcement learning for sustainability enhancement of production lines42
Nash equilibrium as a tool for the Car Sequencing Problem 4.041
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case40
Bridging Physics and Data in Metal Powder Bed Fusion with Scientific Machine Learning40
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)39
Tool wear state monitoring for smart machining: A deep learning method with embedded physical knowledge39
Design patterns of deep reinforcement learning models for job shop scheduling problems39
Generative AI in industrial machine vision: a review38
Machine-learning based process monitoring for automated composites manufacturing38
Research advances in multimodal sensing and closed-loop control technology in laser powder bed fusion process based on deep learning38
Joint distribution domain adaptation: a novel meta-learning framework for cross-domain few-shot fault diagnosis37
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes37
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning36
Adaptive multi-scale threshold with time-gated evaluation for real-time Fault detection in non-stationary and high-dynamic industrial cyber-physical systems36
Real-time detection of blade surface defects based on the improved RT-DETR36
Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices36
MobileViT-SLM: real-time edge-deployable CNN–transformer hybrid for fine-grained scan line defect classification in additive manufacturing35
Surface defect detection method for air rudder based on positive samples35
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation35
Digital twin-driven real-time suppression of delamination damage in CFRP drilling35
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning35
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks35
Real-time penetration depth prediction via physics-informed learning from molten pool surface morphology in laser filler wire welding35
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection35
A scientometric review of digital twin in 3G to 6G networks: industry applications and trends35
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation35
Dual Siamese neural network for discriminative tool-wear feature learning: a metric-learning approach34
A nesting optimization method based on digital contour similarity matching for additive manufacturing34
Comparative analysis of different machine vision algorithms for tool wear measurement during machining34
HA$$R^{2}$$bot: a human-centered augmented reality robot programming method with the awareness of cognitive load34
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments33
Digital twin for flatness control of cold-rolled copper strip and mechanistic model of work roll multi-zone cooling33
Welding defects recognition based on DCP-MobileViT network33
Research on flexible job shop scheduling problem with AGV using double DQN33
Federated predictive maintenance with NASA BP930 satellite battery in industry 5.033
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification33
Perspectives and prospects on embodied intelligence-empowered smart manufacturing33
Online tool condition monitoring in micromilling using LSTM33
MeltpoolINR: predicting temperature field, melt pool geometry and their rate of change in laser powder bed fusion32
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process31
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning31
Experience from implementing digital twins for maintenance in industrial processes31
Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages30
Knowledge-driven safety risk assessment for dismantling decommissioned power batteries30
A systematic multi-layer cognitive model for intelligent machine tool30
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor30
Powder bed monitoring via digital image analysis in additive manufacturing30
A digital twin system for thermal error compensation of numerical control machine tools based on multi-algorithm collaborative modeling30
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks29
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery29
Foreign objects detection using deep learning techniques for graphic card assembly line29
Anticipatory analysis of AGV trajectory in a 5G network using machine learning29
A digital shadow framework using distributed system concepts29
Steel ball surface inspection using modified DRAEM and machine vision29
Development of a cyber physical production system framework for smart tool health management29
Camera-based safety system for collaborative assembly28
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions28
Layer-wise printing parameter optimization for laser powder bed fusion28
Correction: Process data-driven machine learning for non-uniformity prediction and virtual metrology in chemical mechanical planarization28
A novel joint segmentation approach for wafer surface defect classification based on blended network structure28
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing28
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing27
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing27
Equipment electrocardiogram (EECG): making intelligent production line more robust27
Multi-layer process control in selective laser melting: a reinforcement learning approach27
Sheet metal localization using deep learning and synthetic data27
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework27
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model27
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders26
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models26
Task allocation model for human-robot collaboration with variable cobot speed26
A systematic online update method for reduced-order-model-based digital twin26
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing26
Physics-informed deep learning for surface defect detection on optical wedge plates: enhancing accuracy and generalization26
A novel deep learning motivated data augmentation system based on defect segmentation requirements26
A hybrid genetic algorithm for parallel machine scheduling with setup times26
System and system-of-systems digital twins for predictive maintenance and root cause analysis25
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process25
A novel 2.5D machining feature recognition method based on ray blanking algorithm25
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach25
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics24
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application24
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance24
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios24
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features23
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection23
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults23
Time–frequency constrained graph-level representation learning paradigm for real-time mechanical fault diagnosis22
Online prediction of composite material drilling quality based on multi-sensor fusion22
Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning22
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source22
Safe human–robot collaboration for industrial settings: a survey22
Knowledge-embedded machine learning and its applications in smart manufacturing22
Automatic model generation for material flow simulations of Third-Party Logistics22
A digital solution for CPS-based machining path optimization for CNC systems22
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing22
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data22
An unsupervised defect detection model for a dry carbon fiber textile22
Hierarchical multi-scale network for cross-scale visual defect detection22
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning22
Workplace performance measurement: digitalization of work observation and analysis21
DeepMachining: online prediction of machining errors of lathe machines21
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions21
An end-to-end deep reinforcement learning method for dynamic flexible job shop scheduling problem considering multi-skilled worker constraints21
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison21
Differential contrast guidance for aeroengine fault diagnosis with limited data21
Image deep learning in fault diagnosis of mechanical equipment20
Prediction of aircraft panel assembly deformation using a combined prediction model20
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components20
Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing20
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach20
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting20
Global and local representation collaborative learning for few-shot learning20
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches20
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment20
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning20
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches20
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning20
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines20
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin20
Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach20
Real-time forging process control: integrating billet-related surrogate and machine behavior models20
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry20
Mechanical property prediction of high-speed wire based on multi-modal deep network with multi-task learning19
Enhancing obsolescence forecasting with deep generative data augmentation: a semi-supervised framework for low-data industrial applications19
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average19
Adaptive multimodal fusion-driven reinforcement learning for robotic peg-in-hole assembly19
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection19
Data–driven prediction and uncertainty quantification of process–structure–property relationships for additively manufactured continuous carbon fiber reinforced polymer composites19
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning19
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression19
Object detection for blind inspection of industrial products based on neural architecture search19
RAMPSeg: A robust calibration-free image segmentation method for reliable melt pool analysis in laser powder bed fusion19
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration19
Machine learning approach to packaging compatibility testing in the new product development process19
Measuring manufacturing system complexity: a literature review19
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data19
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models19
Boosting anomaly detection with unsupervised K-Means and SOM for energy-efficient factory machines19
Horizontal accuracy prediction model of CNC machine tool using regression algorithm and multi-point load feedback19
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld19
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning19
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals18
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg18
Cold spray-based secure and unique product identification with neural encoding: A full-stack framework for scalable authentication in manufacturing18
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case18
A review and classification of manufacturing ontologies18
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning18
KG4CUT: an ontology to facilitate cutting tool selection and interoperability18
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography18
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory18
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects18
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks17
Deep learning and machine learning approaches for acoustic-based defect monitoring in wire arc direct energy deposition17
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements17
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples17
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction17
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing17
Cyber-physical systems: a bibliometric analysis of literature17
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing17
A robust optimization model for the supplier portfolio selection problem using a combination of artificial fish swarm algorithm and simulated annealing17
A review of AI and machine learning applications in manufacturing processes17
Collaborative automation in factories of the future: review and survey17
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing17
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming16
Relational network of innovation ecosystems generated by digital innovation hubs: a conceptual framework for the interaction processes of DIHs from the perspective of collaboration within and between 16
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets16
Hyper-automation in manufacturing industry16
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes16
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning16
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach16
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling16
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding16
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data16
Human operator decision support for highly transient industrial processes: a reinforcement learning approach15
A novel data augmentation method for few-shot industrial surface defect detection based on segment anything model adapter15
A novel quality inspection method based on free-form surface digital twin model15
An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed15
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions15
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time15
Optimal drawbead restraining force design with physical-artificial intelligence method15
Discovering Granger causality with convolutional neural networks15
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling15
Mechanism-fused Gaussian process regression model for tool-tip operational modes prediction in complex milling15
CNN-BiLSTM-attention based synchronous prediction model for multi-stand rolling force and deformation resistance in cold rolling15
Time series fault prediction via dual enhancement15
Data-driven decision support for furnace loading in steel tempering: a machine learning approach based on industrial operations15
Towards health monitoring of laser powder bed fusion using acoustic emissions: identify manufacturing parameters15
A physics-informed AI methodology for Prognostics and Health Management of complex systems under low data constraints15
Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning14
A multimodal fusion method for soldering quality online inspection14
Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin14
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.014
Three-dimensional fabric smoothness evaluation using point cloud data for enhanced quality control14
CowSSL: contrastive open-world semi-supervised learning for wafer bin map14
A cloud-edge-based digital twin architecture for cyber-physical shop floors: design principles, function analysis, and case study14
A review of the application of functional data analysis methods in industrial intelligent systems14
Human factors in cobot era: a review of modern production systems features14
Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization14
Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence14
Dynamic error control method for ADRE based on the error mechanism model14
Machine learning-based multi-objective optimization framework for industrial black nickel electroplating14
Deep reinforcement learning based approach for the search and engagement phase of the robotic screw unfastening process14
Reinforcement learning approach for decision making in disassembly processes14
An imbalanced data learning approach for tool wear monitoring based on data augmentation14
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot14
KDACL: A knowledge-data fusion-driven method for interpretable anomaly causal chain construction in process industries using large language models14
Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration14
In-situ sensor monitoring of multi-class gas porosity formation in laser powder bed fusion using convolutional neural network14
Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process14
Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin14
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