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 2021-11-01 to 2025-11-01.)
ArticleCitations
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction240
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection212
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge194
Surface reconstruction of glass bottles using neural implicit representations for manufacturing system186
Digital Twin and web services for robotic deburring in intelligent manufacturing182
Automated neural network generation for industrial datasets, application to laser powder bed fusion155
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles133
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds124
Detection and localization system for surface defects of automotive forgings based on machine vision110
Reverse engineering for programmable logic controller structure estimation via white box networks105
Random convolution layer: an auxiliary method to improve fault diagnosis performance104
Warpage detection in 3D printing of polymer parts: a deep learning approach100
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network80
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization76
Imbalanced fault diagnosis based on semi-supervised ensemble learning75
Blockchain-based intelligent equipment assessment in manufacturing industry74
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning74
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models73
From framework to industrial implementation: the digital twin in process planning71
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries68
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning67
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity66
Explainable neural network for time series-based condition monitoring in sheet metal shearing65
Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices64
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case56
Real-time monitoring of molten zinc splatter using machine learning-based computer vision56
Stable pushing in narrow passage environment using a modified hybrid A* algorithm51
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes51
A chip inspection system based on a multiscale subarea attention network50
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation50
Nash equilibrium as a tool for the Car Sequencing Problem 4.049
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)48
Motion stage precision prediction for photonic integrated circuit assembly48
Machining tool identification utilizing temporal 3D point clouds48
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design46
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing43
Real-time detection of blade surface defects based on the improved RT-DETR42
Cross-scene object relationship-driven object detection for flexible printed circuit production41
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations41
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning41
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning41
Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM40
Reinforcement learning for sustainability enhancement of production lines39
Generative AI in industrial machine vision: a review39
Federated learning-based collaborative manufacturing for complex parts38
Machine-learning based process monitoring for automated composites manufacturing38
Design patterns of deep reinforcement learning models for job shop scheduling problems38
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning37
A scientometric review of digital twin in 3G to 6G networks: industry applications and trends37
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks37
Combining human guidance and structured task execution during physical human–robot collaboration37
Comparative analysis of different machine vision algorithms for tool wear measurement during machining37
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning36
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation35
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation35
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments35
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection34
A nesting optimization method based on digital contour similarity matching for additive manufacturing33
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification33
MeltpoolINR: predicting temperature field, melt pool geometry and their rate of change in laser powder bed fusion33
Online tool condition monitoring in micromilling using LSTM31
Experience from implementing digital twins for maintenance in industrial processes31
Surface defect detection method for air rudder based on positive samples31
Welding defects recognition based on DCP-MobileViT network30
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review30
Digital twin-driven real-time suppression of delamination damage in CFRP drilling30
An ontology model for maintenance strategy selection and assessment30
Research on flexible job shop scheduling problem with AGV using double DQN29
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing29
HA$$R^{2}$$bot: a human-centered augmented reality robot programming method with the awareness of cognitive load29
Powder bed monitoring via digital image analysis in additive manufacturing29
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process29
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions29
Steel ball surface inspection using modified DRAEM and machine vision28
A digital shadow framework using distributed system concepts28
Anticipatory analysis of AGV trajectory in a 5G network using machine learning28
Foreign objects detection using deep learning techniques for graphic card assembly line28
Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages28
A systematic multi-layer cognitive model for intelligent machine tool28
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks27
Multi-layer process control in selective laser melting: a reinforcement learning approach26
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor26
Development of a cyber physical production system framework for smart tool health management26
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model26
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture25
A novel joint segmentation approach for wafer surface defect classification based on blended network structure25
Camera-based safety system for collaborative assembly25
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery25
Few-shot RUL estimation based on model-agnostic meta-learning25
Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric24
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios24
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing24
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data24
Equipment electrocardiogram (EECG): making intelligent production line more robust24
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing24
Sheet metal localization using deep learning and synthetic data24
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features23
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing23
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process23
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models23
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing23
Online prediction of composite material drilling quality based on multi-sensor fusion23
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach23
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults23
A systematic online update method for reduced-order-model-based digital twin23
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework23
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection23
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing23
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance22
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks22
Safe human–robot collaboration for industrial settings: a survey22
An unsupervised defect detection model for a dry carbon fiber textile22
A hybrid genetic algorithm for parallel machine scheduling with setup times22
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application22
A novel deep learning motivated data augmentation system based on defect segmentation requirements22
A novel 2.5D machining feature recognition method based on ray blanking algorithm22
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics22
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders22
Differential contrast guidance for aeroengine fault diagnosis with limited data21
Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning21
Task allocation model for human-robot collaboration with variable cobot speed21
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions21
Knowledge-embedded machine learning and its applications in smart manufacturing21
Prediction of aircraft panel assembly deformation using a combined prediction model21
Workplace performance measurement: digitalization of work observation and analysis21
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning21
Hierarchical multi-scale network for cross-scale visual defect detection20
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 approach20
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment20
Automatic model generation for material flow simulations of Third-Party Logistics20
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning20
DeepMachining: online prediction of machining errors of lathe machines19
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines19
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches19
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin19
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks19
Enhanced cuckoo search algorithm for industrial winding process modeling18
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components18
Object detection for blind inspection of industrial products based on neural architecture search18
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography18
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach18
A digital solution for CPS-based machining path optimization for CNC systems18
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source18
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting18
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection18
Global and local representation collaborative learning for few-shot learning18
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison18
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry18
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning18
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning17
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals17
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning17
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld17
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory17
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg17
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case17
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models17
A review and classification of manufacturing ontologies17
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average16
Reconfigurability improvement in Industry 4.0: a hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment16
Machine learning approach to packaging compatibility testing in the new product development process16
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming16
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression16
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration16
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches16
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects16
Real-time forging process control: integrating billet-related surrogate and machine behavior models16
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning16
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data16
Image deep learning in fault diagnosis of mechanical equipment16
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing16
Measuring manufacturing system complexity: a literature review16
Towards health monitoring of laser powder bed fusion using acoustic emissions: identify manufacturing parameters15
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques15
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction15
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements15
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing15
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling15
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach15
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling15
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets15
A robust optimization model for the supplier portfolio selection problem using a combination of artificial fish swarm algorithm and simulated annealing15
Cyber-physical systems: a bibliometric analysis of literature15
Hyper-automation in manufacturing industry15
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data15
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks15
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 15
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing15
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding15
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples15
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes14
A novel quality inspection method based on free-form surface digital twin model14
Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning14
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot14
Human operator decision support for highly transient industrial processes: a reinforcement learning approach14
An imbalanced data learning approach for tool wear monitoring based on data augmentation14
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions14
An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed14
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning14
Human factors in cobot era: a review of modern production systems features14
Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence14
Mechanism-fused Gaussian process regression model for tool-tip operational modes prediction in complex milling14
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time14
A novel data augmentation method for few-shot industrial surface defect detection based on segment anything model adapter14
A multimodal fusion method for soldering quality online inspection14
Automatic extraction of inventive information out of patent texts in support of manufacturing design studies using Natural Languages Processing14
YDRSNet: an integrated Yolov5-Deeplabv3 + real-time segmentation network for gear pitting measurement14
Research on recognition methods of spot-welding surface appearances based on transfer learning and a lightweight high-precision convolutional neural network13
Machine learning-based multi-objective optimization framework for industrial black nickel electroplating13
Deep reinforcement learning based approach for the search and engagement phase of the robotic screw unfastening process13
CowSSL: contrastive open-world semi-supervised learning for wafer bin map13
Time series fault prediction via dual enhancement13
Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process13
Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin13
Three-dimensional fabric smoothness evaluation using point cloud data for enhanced quality control13
Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration13
Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation13
Discovering Granger causality with convolutional neural networks13
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation13
Nest smarter, not harder: a hybrid vision-based deep reinforcement learning agent for packing 2D irregular geometries by rotational placement13
A method for reconstructing large-scale part models based on feature point cloud data13
A cloud-edge-based digital twin architecture for cyber-physical shop floors: design principles, function analysis, and case study13
Reinforcement learning approach for decision making in disassembly processes13
Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization13
Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring13
Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin13
Collaborative robots for quality control: an overview of recent studies and emerging trends12
A systematic literature review on recent trends of machine learning applications in additive manufacturing12
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.012
A novel method based on deep learning algorithms for material deformation rate detection12
A physically-informed machine learning model for freeform bending12
Automated surface defect detection framework using machine vision and convolutional neural networks12
Infill pattern strategy impact on the cross-sectional area at gauge length of material extrusion 3D printed polylactic acid parts12
Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction12
Editorial for the special issue: AI and data-driven decisions in manufacturing12
A deep learning model for online prediction of in-process dynamic characteristics of thin-walled complex blade machining12
Causal deep learning for explainable vision-based quality inspection under visual interference12
A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification12
Hybrid algorithm based on reinforcement learning for smart inventory management12
Enabling production re-configurability through Digital Twins: a case study approach12
Recognizing defects in stainless steel welds based on multi-domain feature expression and self-optimization12
Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition12
Change is safer: a dynamic safety stock model for inventory management of large manufacturing enterprise based on intermittent time series forecasting12
Physics-informed machine learning in intelligent manufacturing: a review12
Semi-supervised techniques to address the scarcity of experimental data: a case study of single point incremental forming12
A predictive maintenance model for health assessment of an assembly robot based on machine learning in the context of smart plant12
Online force prediction by neural networks in single point incremental hole flanging operations12
A novel process planning method of 3 + 2-axis additive manufacturing for aero-engine blade based on machine learning11
Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence11
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