Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 15. 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 2022-08-01 to 2026-08-01.)
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 learning207
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction190
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection189
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds165
Blockchain-based intelligent equipment assessment in manufacturing industry144
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity124
Assessing quality risk scores using explainable artificial intelligence for advanced vision inspection108
Automated neural network generation for industrial datasets, application to laser powder bed fusion105
From framework to industrial implementation: the digital twin in process planning101
Reverse engineering for programmable logic controller structure estimation via white box networks99
Warpage detection in 3D printing of polymer parts: a deep learning approach96
Imbalanced fault diagnosis based on semi-supervised ensemble learning92
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge86
Surface reconstruction of glass bottles using neural implicit representations for manufacturing system81
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries71
Detection and localization system for surface defects of automotive forgings based on machine vision69
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles66
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network64
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization63
Random convolution layer: an auxiliary method to improve fault diagnosis performance61
Real-time monitoring of molten zinc splatter using machine learning-based computer vision55
WeldNet: a multimodal deep learning framework with validated synthetic augmentation for resistance spot weld quality assessment54
Stable pushing in narrow passage environment using a modified hybrid A* algorithm54
Machining tool identification utilizing temporal 3D point clouds53
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes51
Nash equilibrium as a tool for the Car Sequencing Problem 4.051
Machine-learning-driven synergistic optimization of multi-objective mechanical properties in steel materials51
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case50
Bridging Physics and Data in Metal Powder Bed Fusion with Scientific Machine Learning49
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations48
Combining human guidance and structured task execution during physical human–robot collaboration48
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation48
Tool wear state monitoring for smart machining: A deep learning method with embedded physical knowledge48
A chip inspection system based on a multiscale subarea attention network48
Dta-qc: an AI-driven framework for adaptive quality control and intelligent test optimization in 5 G manufacturing47
Joint distribution domain adaptation: a novel meta-learning framework for cross-domain few-shot fault diagnosis47
Motion stage precision prediction for photonic integrated circuit assembly46
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)45
Cross-scene object relationship-driven object detection for flexible printed circuit production44
Generative AI in industrial machine vision: a review44
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing44
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning44
Structure-aware feature enhancement for real-time fabric defect detection in industrial inspection43
Federated learning-based collaborative manufacturing for complex parts42
Real-time detection of blade surface defects based on the improved RT-DETR42
AI agent-driven process automation for dynamic production efficiency and intelligent equipment integration42
Machine-learning based process monitoring for automated composites manufacturing42
Reinforcement learning for sustainability enhancement of production lines42
Explainable neural network for time series-based condition monitoring in sheet metal shearing41
Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices41
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning40
Design patterns of deep reinforcement learning models for job shop scheduling problems40
Context-aware Transferability Estimation for Industrial Transfer Learning40
Research advances in multimodal sensing and closed-loop control technology in laser powder bed fusion process based on deep learning40
Online tool condition monitoring in micromilling using LSTM39
Physics-guided denoiser network for enhanced additive manufacturing data quality39
Comparative analysis of different machine vision algorithms for tool wear measurement during machining38
Prediction of CNC machining vibration signals based on conditional generative adversarial network38
Adaptive multi-scale threshold with time-gated evaluation for real-time Fault detection in non-stationary and high-dynamic industrial cyber-physical systems38
Real-time penetration depth prediction via physics-informed learning from molten pool surface morphology in laser filler wire welding38
Digital twin for flatness control of cold-rolled copper strip and mechanistic model of work roll multi-zone cooling37
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation37
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning37
A scalable random forest (SRF) approach for non-linear predictive modelling using small manufacturing datasets37
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments37
Dual Siamese neural network for discriminative tool-wear feature learning: a metric-learning approach37
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection36
Surface defect detection method for air rudder based on positive samples36
Digital twin-driven real-time suppression of delamination damage in CFRP drilling36
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification35
Research on flexible job shop scheduling problem with AGV using double DQN35
Federated predictive maintenance with NASA BP930 satellite battery in industry 5.035
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process35
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning35
MobileViT-SLM: real-time edge-deployable CNN–transformer hybrid for fine-grained scan line defect classification in additive manufacturing34
MeltpoolINR: predicting temperature field, melt pool geometry and their rate of change in laser powder bed fusion34
HA$$R^{2}$$bot: a human-centered augmented reality robot programming method with the awareness of cognitive load34
A Bidirectional Physics-Inspired Digital Twin for Melt-Pool-Process Parameter Interplay in Laser Powder-Bed Fusion34
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks34
Experience from implementing digital twins for maintenance in industrial processes34
Welding defects recognition based on DCP-MobileViT network33
A scientometric review of digital twin in 3G to 6G networks: industry applications and trends33
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation33
A digital twin system for thermal error compensation of numerical control machine tools based on multi-algorithm collaborative modeling32
Knowledge-driven safety risk assessment for dismantling decommissioned power batteries32
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks32
A digital shadow framework using distributed system concepts32
A systematic multi-layer cognitive model for intelligent machine tool32
Perspectives and prospects on embodied intelligence-empowered smart manufacturing32
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor32
Camera-based safety system for collaborative assembly31
Correction: Process data-driven machine learning for non-uniformity prediction and virtual metrology in chemical mechanical planarization31
Layer-wise printing parameter optimization for laser powder bed fusion31
Multi-layer process control in selective laser melting: a reinforcement learning approach31
Steel ball surface inspection using modified DRAEM and machine vision31
Powder bed monitoring via digital image analysis in additive manufacturing31
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions31
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing31
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model30
Anticipatory analysis of AGV trajectory in a 5G network using machine learning30
Development of a cyber physical production system framework for smart tool health management30
Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages29
A novel joint segmentation approach for wafer surface defect classification based on blended network structure29
Sheet metal localization using deep learning and synthetic data28
Task allocation model for human-robot collaboration with variable cobot speed28
Equipment electrocardiogram (EECG): making intelligent production line more robust28
Online prediction of composite material drilling quality based on multi-sensor fusion28
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery28
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics27
Data-driven tool wear monitoring guided by prior knowledge via degenerate manifold structural constraints27
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders27
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process27
In-line laser weld surface inspection and abnormality detection via a human-knowledge integrated hybrid framework using 3D point cloud measurements27
Time–frequency constrained graph-level representation learning paradigm for real-time mechanical fault diagnosis27
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults27
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework27
A systematic online update method for reduced-order-model-based digital twin27
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing27
System and system-of-systems digital twins for predictive maintenance and root cause analysis27
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection26
A novel deep learning motivated data augmentation system based on defect segmentation requirements26
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios26
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features26
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data25
Physics-informed deep learning for surface defect detection on optical wedge plates: enhancing accuracy and generalization25
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application25
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing25
Safe human–robot collaboration for industrial settings: a survey25
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing25
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models25
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance25
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing25
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning24
Global and local representation collaborative learning for few-shot learning24
Differential contrast guidance for aeroengine fault diagnosis with limited data24
A novel 2.5D machining feature recognition method based on ray blanking algorithm24
Hierarchical multi-scale network for cross-scale visual defect detection24
Data driven estimation of pore size using 1D light emissions for laser powder bed fusion additive manufacturing24
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches24
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions24
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning24
Restricted self-supervised and active learning network for imbalanced few-shot wafer maps defect recognition23
Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing23
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines23
Prediction of aircraft panel assembly deformation using a combined prediction model23
Workplace performance measurement: digitalization of work observation and analysis23
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison23
DeepMachining: online prediction of machining errors of lathe machines23
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source23
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin23
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components23
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach22
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment22
RAMPSeg: A robust calibration-free image segmentation method for reliable melt pool analysis in laser powder bed fusion22
Boosting anomaly detection with unsupervised K-Means and SOM for energy-efficient factory machines22
Automatic model generation for material flow simulations of Third-Party Logistics22
Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach22
Mechanical property prediction of high-speed wire based on multi-modal deep network with multi-task learning22
Enhancing obsolescence forecasting with deep generative data augmentation: a semi-supervised framework for low-data industrial applications22
Data–driven prediction and uncertainty quantification of process–structure–property relationships for additively manufactured continuous carbon fiber reinforced polymer composites22
A digital solution for CPS-based machining path optimization for CNC systems22
An end-to-end deep reinforcement learning method for dynamic flexible job shop scheduling problem considering multi-skilled worker constraints22
Object detection for blind inspection of industrial products based on neural architecture search22
Adaptive multimodal fusion-driven reinforcement learning for robotic peg-in-hole assembly22
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry22
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting21
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld21
Horizontal accuracy prediction model of CNC machine tool using regression algorithm and multi-point load feedback21
Manifold-informed meta-learning for out-of-distribution detection and classification in small-scale industrial datasets21
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning21
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals21
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection21
Machine learning approach to packaging compatibility testing in the new product development process21
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning21
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression20
Visualizing the landscape of virtual assembly bibliometric studies via CiteSpace20
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg20
A novel pipeline and benchmark for automated technical datasheets processing20
Spatial–temporal correlation enhanced digital twin for reconstruction of machining deformation fields in thin-walled ring-shaped structures20
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data20
A review and classification of manufacturing ontologies20
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration20
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case20
Real-time forging process control: integrating billet-related surrogate and machine behavior models20
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory20
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average20
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning20
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models20
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography19
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming19
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing19
Image deep learning in fault diagnosis of mechanical equipment19
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches19
Hyper-automation in manufacturing industry19
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples19
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning19
Collaborative automation in factories of the future: review and survey19
Attention-based 3D – convolutional neural network model for mechanical property predictions using visible light images in metal additive manufacturing19
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects19
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing18
KG4CUT: an ontology to facilitate cutting tool selection and interoperability18
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding18
Towards health monitoring of laser powder bed fusion using acoustic emissions: identify manufacturing parameters18
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements18
A review of AI and machine learning applications in manufacturing processes18
Cold spray-based secure and unique product identification with neural encoding: A full-stack framework for scalable authentication in manufacturing18
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach18
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling17
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction17
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data17
Application of machine learning for in-situ defect detection in metal powder bed fusion: a critical review17
An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed17
Deep learning and machine learning approaches for acoustic-based defect monitoring in wire arc direct energy deposition17
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning17
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling17
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 17
A physics-informed AI methodology for Prognostics and Health Management of complex systems under low data constraints17
A robust optimization model for the supplier portfolio selection problem using a combination of artificial fish swarm algorithm and simulated annealing17
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes17
Cyber-physical systems: a bibliometric analysis of literature17
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing17
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks17
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets17
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions16
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot16
A novel quality inspection method based on free-form surface digital twin model16
Time series fault prediction via dual enhancement16
An imbalanced data learning approach for tool wear monitoring based on data augmentation16
A multimodal fusion method for soldering quality online inspection16
CNN-BiLSTM-attention based synchronous prediction model for multi-stand rolling force and deformation resistance in cold rolling16
Data-driven decision support for furnace loading in steel tempering: a machine learning approach based on industrial operations16
Mechanism-fused Gaussian process regression model for tool-tip operational modes prediction in complex milling16
Optimal drawbead restraining force design with physical-artificial intelligence method16
Human operator decision support for highly transient industrial processes: a reinforcement learning approach16
A novel data augmentation method for few-shot industrial surface defect detection based on segment anything model adapter15
A method for reconstructing large-scale part models based on feature point cloud data15
Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin15
Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process15
Nest smarter, not harder: a hybrid vision-based deep reinforcement learning agent for packing 2D irregular geometries by rotational placement15
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation15
Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration15
Three-dimensional fabric smoothness evaluation using point cloud data for enhanced quality control15
In-situ sensor monitoring of multi-class gas porosity formation in laser powder bed fusion using convolutional neural network15
A cloud-edge-based digital twin architecture for cyber-physical shop floors: design principles, function analysis, and case study15
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time15
Deep reinforcement learning based approach for the search and engagement phase of the robotic screw unfastening process15
KDACL: A knowledge-data fusion-driven method for interpretable anomaly causal chain construction in process industries using large language models15
Dynamic error control method for ADRE based on the error mechanism model15
A review of the application of functional data analysis methods in industrial intelligent systems15
0.63251090049744