Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 13. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction250
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection220
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge202
Automated neural network generation for industrial datasets, application to laser powder bed fusion192
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds159
Detection and localization system for surface defects of automotive forgings based on machine vision137
Reverse engineering for programmable logic controller structure estimation via white box networks126
Random convolution layer: an auxiliary method to improve fault diagnosis performance119
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning112
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization106
Surface reconstruction of glass bottles using neural implicit representations for manufacturing system82
Warpage detection in 3D printing of polymer parts: a deep learning approach80
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network79
Blockchain-based intelligent equipment assessment in manufacturing industry78
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity76
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning76
From framework to industrial implementation: the digital twin in process planning75
Imbalanced fault diagnosis based on semi-supervised ensemble learning74
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles74
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries73
Digital Twin and web services for robotic deburring in intelligent manufacturing69
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models68
Explainable neural network for time series-based condition monitoring in sheet metal shearing62
Real-time monitoring of molten zinc splatter using machine learning-based computer vision59
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes55
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case55
Stable pushing in narrow passage environment using a modified hybrid A* algorithm52
A chip inspection system based on a multiscale subarea attention network51
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation51
Machining tool identification utilizing temporal 3D point clouds50
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)50
Motion stage precision prediction for photonic integrated circuit assembly48
Design patterns of deep reinforcement learning models for job shop scheduling problems43
AI agent-driven process automation for dynamic production efficiency and intelligent equipment integration43
Joint distribution domain adaptation: a novel meta-learning framework for cross-domain few-shot fault diagnosis42
Generative AI in industrial machine vision: a review42
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning42
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design41
Federated learning-based collaborative manufacturing for complex parts41
Cross-scene object relationship-driven object detection for flexible printed circuit production41
Nash equilibrium as a tool for the Car Sequencing Problem 4.040
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing40
Reinforcement learning for sustainability enhancement of production lines40
Real-time detection of blade surface defects based on the improved RT-DETR39
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations39
Machine-learning-driven synergistic optimization of multi-objective mechanical properties in steel materials39
Machine-learning based process monitoring for automated composites manufacturing38
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning38
Dta-qc: an AI-driven framework for adaptive quality control and intelligent test optimization in 5 G manufacturing38
Combining human guidance and structured task execution during physical human–robot collaboration38
A scientometric review of digital twin in 3G to 6G networks: industry applications and trends37
Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices37
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments36
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation36
Online tool condition monitoring in micromilling using LSTM34
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation34
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 manufacturing34
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification33
HA$$R^{2}$$bot: a human-centered augmented reality robot programming method with the awareness of cognitive load32
Welding defects recognition based on DCP-MobileViT network32
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning32
MeltpoolINR: predicting temperature field, melt pool geometry and their rate of change in laser powder bed fusion32
Surface defect detection method for air rudder based on positive samples32
Research on flexible job shop scheduling problem with AGV using double DQN31
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning31
Experience from implementing digital twins for maintenance in industrial processes30
Comparative analysis of different machine vision algorithms for tool wear measurement during machining30
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks30
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
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process29
Anticipatory analysis of AGV trajectory in a 5G network using machine learning29
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing29
Development of a cyber physical production system framework for smart tool health management29
Digital twin-driven real-time suppression of delamination damage in CFRP drilling29
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery28
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks28
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing27
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions26
A novel joint segmentation approach for wafer surface defect classification based on blended network structure26
Foreign objects detection using deep learning techniques for graphic card assembly line26
Multi-layer process control in selective laser melting: a reinforcement learning approach26
Camera-based safety system for collaborative assembly26
A digital shadow framework using distributed system concepts26
Few-shot RUL estimation based on model-agnostic meta-learning25
A systematic multi-layer cognitive model for intelligent machine tool25
Sheet metal localization using deep learning and synthetic data25
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model25
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture25
Steel ball surface inspection using modified DRAEM and machine vision25
Powder bed monitoring via digital image analysis in additive manufacturing25
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios24
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing24
A systematic online update method for reduced-order-model-based digital twin24
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing24
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework24
Online prediction of composite material drilling quality based on multi-sensor fusion24
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process24
Equipment electrocardiogram (EECG): making intelligent production line more robust24
An unsupervised defect detection model for a dry carbon fiber textile24
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing24
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models24
Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric23
A hybrid genetic algorithm for parallel machine scheduling with setup times23
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics23
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features23
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance23
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning23
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application23
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults23
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach23
A novel 2.5D machining feature recognition method based on ray blanking algorithm23
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing23
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection23
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks22
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data22
Task allocation model for human-robot collaboration with variable cobot speed22
Knowledge-embedded machine learning and its applications in smart manufacturing22
Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning21
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders21
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches21
DeepMachining: online prediction of machining errors of lathe machines21
Workplace performance measurement: digitalization of work observation and analysis21
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning21
Prediction of aircraft panel assembly deformation using a combined prediction model21
A novel deep learning motivated data augmentation system based on defect segmentation requirements21
Differential contrast guidance for aeroengine fault diagnosis with limited data21
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines21
Safe human–robot collaboration for industrial settings: a survey21
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions20
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components20
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison20
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source20
Global and local representation collaborative learning for few-shot learning20
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment20
Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach19
Hierarchical multi-scale network for cross-scale visual defect detection19
Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing19
Enhanced cuckoo search algorithm for industrial winding process modeling19
Automatic model generation for material flow simulations of Third-Party Logistics19
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks19
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach19
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory18
Object detection for blind inspection of industrial products based on neural architecture search18
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
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average18
A digital solution for CPS-based machining path optimization for CNC systems18
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
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning18
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration18
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin18
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg18
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography18
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models18
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression17
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning17
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning17
Real-time forging process control: integrating billet-related surrogate and machine behavior models17
Machine learning approach to packaging compatibility testing in the new product development process17
Measuring manufacturing system complexity: a literature review17
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data17
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case17
A review and classification of manufacturing ontologies17
Towards health monitoring of laser powder bed fusion using acoustic emissions: identify manufacturing parameters16
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling16
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements16
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals16
Image deep learning in fault diagnosis of mechanical equipment16
A robust optimization model for the supplier portfolio selection problem using a combination of artificial fish swarm algorithm and simulated annealing16
Collaborative automation in factories of the future: review and survey16
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing16
RAMPSeg: A robust calibration-free image segmentation method for reliable melt pool analysis in laser powder bed fusion16
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects16
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing16
Cyber-physical systems: a bibliometric analysis of literature16
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples16
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming16
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches16
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld16
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
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach15
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks15
A novel quality inspection method based on free-form surface digital twin model15
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling15
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes15
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques15
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data15
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
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction15
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning15
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing15
Hyper-automation in manufacturing industry15
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions15
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding15
An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed14
CNN-BiLSTM-attention based synchronous prediction model for multi-stand rolling force and deformation resistance in cold rolling14
Automatic extraction of inventive information out of patent texts in support of manufacturing design studies using Natural Languages Processing14
Discovering Granger causality with convolutional neural networks14
Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence14
A novel data augmentation method for few-shot industrial surface defect detection based on segment anything model adapter14
Human operator decision support for highly transient industrial processes: a reinforcement learning approach14
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time14
Time series fault prediction via dual enhancement14
An imbalanced data learning approach for tool wear monitoring based on data augmentation14
Mechanism-fused Gaussian process regression model for tool-tip operational modes prediction in complex milling14
A multimodal fusion method for soldering quality online inspection14
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot14
Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization14
Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning13
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation13
Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration13
Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition13
Machine learning-based multi-objective optimization framework for industrial black nickel electroplating13
Reinforcement learning approach for decision making in disassembly processes13
Human factors in cobot era: a review of modern production systems features13
Nest smarter, not harder: a hybrid vision-based deep reinforcement learning agent for packing 2D irregular geometries by rotational placement13
Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring13
A cloud-edge-based digital twin architecture for cyber-physical shop floors: design principles, function analysis, and case study13
Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin13
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
Data-driven decision support for furnace loading in steel tempering: a machine learning approach based on industrial operations13
Three-dimensional fabric smoothness evaluation using point cloud data for enhanced quality control13
A method for reconstructing large-scale part models based on feature point cloud data13
A systematic literature review on recent trends of machine learning applications in additive manufacturing13
Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation13
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