Journal of Intelligent Manufacturing

Papers
(The median citation count of Journal of Intelligent Manufacturing is 5. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning255
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity235
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction212
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge200
Automated neural network generation for industrial datasets, application to laser powder bed fusion166
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds144
Reverse engineering for programmable logic controller structure estimation via white box networks137
Random convolution layer: an auxiliary method to improve fault diagnosis performance126
Surface reconstruction of glass bottles using neural implicit representations for manufacturing system125
Blockchain-based intelligent equipment assessment in manufacturing industry112
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network85
Digital Twin and web services for robotic deburring in intelligent manufacturing83
From framework to industrial implementation: the digital twin in process planning83
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries82
Detection and localization system for surface defects of automotive forgings based on machine vision79
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles77
Warpage detection in 3D printing of polymer parts: a deep learning approach77
Assessing quality risk scores using explainable artificial intelligence for advanced vision inspection76
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection76
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization75
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models68
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning66
Imbalanced fault diagnosis based on semi-supervised ensemble learning64
Real-time monitoring of molten zinc splatter using machine learning-based computer vision58
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes57
Stable pushing in narrow passage environment using a modified hybrid A* algorithm54
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design53
A chip inspection system based on a multiscale subarea attention network53
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations52
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case51
Federated learning-based collaborative manufacturing for complex parts48
Real-time detection of blade surface defects based on the improved RT-DETR46
Joint distribution domain adaptation: a novel meta-learning framework for cross-domain few-shot fault diagnosis44
Design patterns of deep reinforcement learning models for job shop scheduling problems44
AI agent-driven process automation for dynamic production efficiency and intelligent equipment integration44
Motion stage precision prediction for photonic integrated circuit assembly44
Reinforcement learning for sustainability enhancement of production lines42
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing42
Machine-learning-driven synergistic optimization of multi-objective mechanical properties in steel materials42
Generative AI in industrial machine vision: a review42
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning41
Machine-learning based process monitoring for automated composites manufacturing41
Dta-qc: an AI-driven framework for adaptive quality control and intelligent test optimization in 5 G manufacturing41
Cross-scene object relationship-driven object detection for flexible printed circuit production41
Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices41
Combining human guidance and structured task execution during physical human–robot collaboration40
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation40
Nash equilibrium as a tool for the Car Sequencing Problem 4.040
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)39
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning39
Machining tool identification utilizing temporal 3D point clouds39
Explainable neural network for time series-based condition monitoring in sheet metal shearing39
A scientometric review of digital twin in 3G to 6G networks: industry applications and trends38
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation38
A nesting optimization method based on digital contour similarity matching for additive manufacturing37
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments37
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification36
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation36
Online tool condition monitoring in micromilling using LSTM36
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning35
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
MobileViT-SLM: real-time edge-deployable CNN–transformer hybrid for fine-grained scan line defect classification in additive manufacturing34
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks33
MeltpoolINR: predicting temperature field, melt pool geometry and their rate of change in laser powder bed fusion32
Welding defects recognition based on DCP-MobileViT network32
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection31
Real-time penetration depth prediction via physics-informed learning from molten pool surface morphology in laser filler wire welding31
Experience from implementing digital twins for maintenance in industrial processes31
Digital twin-driven real-time suppression of delamination damage in CFRP drilling31
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process30
Surface defect detection method for air rudder based on positive samples30
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning30
Research on flexible job shop scheduling problem with AGV using double DQN30
Steel ball surface inspection using modified DRAEM and machine vision29
Development of a cyber physical production system framework for smart tool health management29
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture29
Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages29
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor29
Few-shot RUL estimation based on model-agnostic meta-learning29
Camera-based safety system for collaborative assembly28
Anticipatory analysis of AGV trajectory in a 5G network using machine learning28
Foreign objects detection using deep learning techniques for graphic card assembly line28
Powder bed monitoring via digital image analysis in additive manufacturing28
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model27
A digital shadow framework using distributed system concepts27
A systematic multi-layer cognitive model for intelligent machine tool27
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks27
A novel joint segmentation approach for wafer surface defect classification based on blended network structure27
Multi-layer process control in selective laser melting: a reinforcement learning approach26
Sheet metal localization using deep learning and synthetic data26
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing26
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery26
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing26
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions26
Equipment electrocardiogram (EECG): making intelligent production line more robust26
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework25
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing25
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults25
Online prediction of composite material drilling quality based on multi-sensor fusion25
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing25
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios25
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing25
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models25
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach24
A novel 2.5D machining feature recognition method based on ray blanking algorithm24
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data24
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application24
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features24
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks24
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process24
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection24
A systematic online update method for reduced-order-model-based digital twin24
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders24
An unsupervised defect detection model for a dry carbon fiber textile24
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics24
Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric23
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning23
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing23
Safe human–robot collaboration for industrial settings: a survey23
Knowledge-embedded machine learning and its applications in smart manufacturing23
A novel deep learning motivated data augmentation system based on defect segmentation requirements23
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance23
A hybrid genetic algorithm for parallel machine scheduling with setup times22
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning22
Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning22
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines22
Task allocation model for human-robot collaboration with variable cobot speed22
DeepMachining: online prediction of machining errors of lathe machines22
Differential contrast guidance for aeroengine fault diagnosis with limited data22
Enhanced cuckoo search algorithm for industrial winding process modeling21
Global and local representation collaborative learning for few-shot learning21
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison21
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches21
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment21
Hierarchical multi-scale network for cross-scale visual defect detection21
Automatic model generation for material flow simulations of Third-Party Logistics21
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks21
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions21
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source21
A digital solution for CPS-based machining path optimization for CNC systems20
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin20
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components20
Prediction of aircraft panel assembly deformation using a combined prediction model20
Workplace performance measurement: digitalization of work observation and analysis20
Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing20
Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach19
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography19
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models19
Object detection for blind inspection of industrial products based on neural architecture search19
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning19
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression19
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach19
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry19
RAMPSeg: A robust calibration-free image segmentation method for reliable melt pool analysis in laser powder bed fusion19
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning19
Real-time forging process control: integrating billet-related surrogate and machine behavior models18
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average18
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning18
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting18
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data18
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg18
Enhancing obsolescence forecasting with deep generative data augmentation: a semi-supervised framework for low-data industrial applications18
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory18
Measuring manufacturing system complexity: a literature review18
Towards health monitoring of laser powder bed fusion using acoustic emissions: identify manufacturing parameters17
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration17
Boosting anomaly detection with unsupervised K-Means and SOM for energy-efficient factory machines17
Image deep learning in fault diagnosis of mechanical equipment17
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning17
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection17
Machine learning approach to packaging compatibility testing in the new product development process17
A review and classification of manufacturing ontologies17
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects17
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches17
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case17
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld17
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals17
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
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements16
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction16
Hyper-automation in manufacturing industry16
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing16
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding16
Cyber-physical systems: a bibliometric analysis of literature16
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning16
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples16
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes16
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks16
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing16
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach16
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques16
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing16
Collaborative automation in factories of the future: review and survey16
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling16
A robust optimization model for the supplier portfolio selection problem using a combination of artificial fish swarm algorithm and simulated annealing16
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming16
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data16
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
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
Automatic extraction of inventive information out of patent texts in support of manufacturing design studies using Natural Languages Processing15
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot15
A novel quality inspection method based on free-form surface digital twin model15
Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence15
An imbalanced data learning approach for tool wear monitoring based on data augmentation15
Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning15
Discovering Granger causality with convolutional neural networks15
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling15
An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed15
Data-driven decision support for furnace loading in steel tempering: a machine learning approach based on industrial operations15
A multimodal fusion method for soldering quality online inspection15
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time15
Human operator decision support for highly transient industrial processes: a reinforcement learning approach15
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions15
CowSSL: contrastive open-world semi-supervised learning for wafer bin map14
Time series fault prediction via dual enhancement14
A novel data augmentation method for few-shot industrial surface defect detection based on segment anything model adapter14
A method for reconstructing large-scale part models based on feature point cloud data14
Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration14
Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition14
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation14
Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization14
Machine learning-based multi-objective optimization framework for industrial black nickel electroplating14
A cloud-edge-based digital twin architecture for cyber-physical shop floors: design principles, function analysis, and case study14
A systematic literature review on recent trends of machine learning applications in additive manufacturing14
Deep reinforcement learning based approach for the search and engagement phase of the robotic screw unfastening process14
Human factors in cobot era: a review of modern production systems features14
Nest smarter, not harder: a hybrid vision-based deep reinforcement learning agent for packing 2D irregular geometries by rotational placement14
Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process14
Research on recognition methods of spot-welding surface appearances based on transfer learning and a lightweight high-precision convolutional neural network14
Dynamic error control method for ADRE based on the error mechanism model14
Three-dimensional fabric smoothness evaluation using point cloud data for enhanced quality control13
A deep learning model for online prediction of in-process dynamic characteristics of thin-walled complex blade machining13
Multi-source feature augmentation adversarial domain generalization method for tool wear condition monitoring on unseen machine tools13
A spatio-temporal hybrid method with multi-scale BiTCN and modified informer for remaining useful life prediction13
Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring13
Online force prediction by neural networks in single point incremental hole flanging operations13
Semi-supervised techniques to address the scarcity of experimental data: a case study of single point incremental forming13
Incremental transfer learning for robot drilling state monitoring under multiple working conditions13
A novel technique for multiple failure modes classification based on deep forest algorithm13
Change is safer: a dynamic safety stock model for inventory management of large manufacturing enterprise based on intermittent time series forecasting13
Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation13
Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin13
Reinforcement learning approach for decision making in disassembly processes13
A physically-informed machine learning model for freeform bending13
One-shot learning for rapid generation of structured robotic manipulation tasks from 3D video demonstrations13
Assembly task planning framework based on knowledge graph13
Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction13
Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin13
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