Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 12. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
From framework to industrial implementation: the digital twin in process planning218
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection180
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction160
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity160
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge158
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning130
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning110
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models109
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network94
Blockchain-based intelligent equipment assessment in manufacturing industry90
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds78
Warpage detection in 3D printing of polymer parts: a deep learning approach75
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization73
Imbalanced fault diagnosis based on semi-supervised ensemble learning70
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles69
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries66
Random convolution layer: an auxiliary method to improve fault diagnosis performance65
Self learning-empowered thermal error control method of precision machine tools based on digital twin64
Digital Twin and web services for robotic deburring in intelligent manufacturing64
Motion stage precision prediction for photonic integrated circuit assembly61
Reverse engineering for programmable logic controller structure estimation via white box networks61
Machine-learning based process monitoring for automated composites manufacturing58
Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM53
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning51
Machining tool identification utilizing temporal 3D point clouds51
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning49
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)49
Generative AI in industrial machine vision: a review48
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design47
Explainable neural network for time series-based condition monitoring in sheet metal shearing43
Combining human guidance and structured task execution during physical human–robot collaboration43
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation42
Real-time monitoring of molten zinc splatter using machine learning-based computer vision42
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case42
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing41
Reinforcement learning for sustainability enhancement of production lines41
Nash equilibrium as a tool for the Car Sequencing Problem 4.041
A chip inspection system based on a multiscale subarea attention network39
Design patterns of deep reinforcement learning models for job shop scheduling problems39
Stable pushing in narrow passage environment using a modified hybrid A* algorithm39
Real-time detection of blade surface defects based on the improved RT-DETR38
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations38
Federated learning-based collaborative manufacturing for complex parts37
Fourth-party logistics network design with service time constraint under stochastic demand37
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes36
HA$$R^{2}$$bot: a human-centered augmented reality robot programming method with the awareness of cognitive load35
An ontology model for maintenance strategy selection and assessment35
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning35
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review34
Research on flexible job shop scheduling problem with AGV using double DQN34
Digital twin-driven real-time suppression of delamination damage in CFRP drilling33
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation33
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation33
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification33
A nesting optimization method based on digital contour similarity matching for additive manufacturing32
Surface defect detection method for air rudder based on positive samples32
Comparative analysis of different machine vision algorithms for tool wear measurement during machining31
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments31
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection31
Welding defects recognition based on DCP-MobileViT network31
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning30
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks30
Online tool condition monitoring in micromilling using LSTM30
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process29
Experience from implementing digital twins for maintenance in industrial processes28
A novel joint segmentation approach for wafer surface defect classification based on blended network structure28
Development of a cyber physical production system framework for smart tool health management27
Foreign objects detection using deep learning techniques for graphic card assembly line27
Multi-layer process control in selective laser melting: a reinforcement learning approach27
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing26
Steel ball surface inspection using modified DRAEM and machine vision26
Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages26
Automatic recognition of hot spray marking dot-matrix characters for steel-slab industry26
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions25
A digital shadow framework using distributed system concepts25
Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective25
Design and application of digital twin system for the blade-rotor test rig25
A systematic multi-layer cognitive model for intelligent machine tool24
Powder bed monitoring via digital image analysis in additive manufacturing24
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery24
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model24
Anticipatory analysis of AGV trajectory in a 5G network using machine learning24
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing24
Camera-based safety system for collaborative assembly24
Equipment electrocardiogram (EECG): making intelligent production line more robust23
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks23
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture23
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks23
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor23
Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems23
Sheet metal localization using deep learning and synthetic data23
Few-shot RUL estimation based on model-agnostic meta-learning23
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data22
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection22
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing22
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning22
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing22
Knowledge-embedded machine learning and its applications in smart manufacturing21
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios21
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing21
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics21
Online prediction of composite material drilling quality based on multi-sensor fusion21
Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric21
A systematic online update method for reduced-order-model-based digital twin21
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework20
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults20
A hybrid genetic algorithm for parallel machine scheduling with setup times20
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing20
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach20
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process20
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders20
An unsupervised defect detection model for a dry carbon fiber textile20
A hybrid prognosis approach for life prediction of gears subjected to progressive pitting failure mode20
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance20
Probabilistic predictive control of porosity in laser powder bed fusion20
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models19
A novel 2.5D machining feature recognition method based on ray blanking algorithm19
Task allocation model for human-robot collaboration with variable cobot speed19
A digital solution for CPS-based machining path optimization for CNC systems19
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach19
Hierarchical multi-scale network for cross-scale visual defect detection19
A novel deep learning motivated data augmentation system based on defect segmentation requirements19
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application19
Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning19
Workplace performance measurement: digitalization of work observation and analysis19
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison19
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches19
Safe human–robot collaboration for industrial settings: a survey19
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features19
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment19
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning19
Enhanced cuckoo search algorithm for industrial winding process modeling19
A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines18
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source18
Differential contrast guidance for aeroengine fault diagnosis with limited data18
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines18
Prediction of aircraft panel assembly deformation using a combined prediction model18
Automatic model generation for material flow simulations of Third-Party Logistics18
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions17
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin17
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components17
Global and local representation collaborative learning for few-shot learning17
Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach17
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks17
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld16
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg16
Object detection for blind inspection of industrial products based on neural architecture search16
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning16
Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing16
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data16
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models16
Real-time forging process control: integrating billet-related surrogate and machine behavior models16
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry16
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection16
Machine learning approach to packaging compatibility testing in the new product development process15
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration15
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression15
Image deep learning in fault diagnosis of mechanical equipment15
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning15
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case15
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning15
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography15
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals15
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting15
Measuring manufacturing system complexity: a literature review15
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning15
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 environment14
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples14
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data14
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects14
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning14
A review and classification of manufacturing ontologies14
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing14
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements14
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory14
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches14
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing14
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing14
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average14
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach13
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling13
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning13
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes13
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 13
Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization13
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets13
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling13
Reinforcement learning applications to machine scheduling problems: a comprehensive literature review13
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques13
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions13
Human operator decision support for highly transient industrial processes: a reinforcement learning approach13
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding13
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction13
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming13
Cyber-physical systems: a bibliometric analysis of literature13
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks13
Time series fault prediction via dual enhancement13
Hyper-automation in manufacturing industry13
Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix12
An imbalanced data learning approach for tool wear monitoring based on data augmentation12
An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed12
YDRSNet: an integrated Yolov5-Deeplabv3 + real-time segmentation network for gear pitting measurement12
A novel parallel classification network for classifying three-dimensional surface with point cloud data12
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
Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration12
Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process12
A multimodal fusion method for soldering quality online inspection12
Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning12
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time12
A novel quality inspection method based on free-form surface digital twin model12
Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction12
Machine learning-based multi-objective optimization framework for industrial black nickel electroplating12
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
Discovering Granger causality with convolutional neural networks12
Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence12
Autonomous VOs management based on industry 4.0: a systematic literature review12
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot12
Automatic extraction of inventive information out of patent texts in support of manufacturing design studies using Natural Languages Processing12
Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring12
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation12
Human factors in cobot era: a review of modern production systems features12
0.071455955505371