Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 11. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries189
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds160
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning140
Warpage detection in 3D printing of polymer parts: a deep learning approach139
An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell136
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection109
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity103
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning100
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction96
Digital Twin and web services for robotic deburring in intelligent manufacturing94
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge92
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network79
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models79
From framework to industrial implementation: the digital twin in process planning68
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles63
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization60
Imbalanced fault diagnosis based on semi-supervised ensemble learning60
Self learning-empowered thermal error control method of precision machine tools based on digital twin57
Random convolution layer: an auxiliary method to improve fault diagnosis performance57
Motion stage precision prediction for photonic integrated circuit assembly56
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning56
Machining tool identification utilizing temporal 3D point clouds53
Design patterns of deep reinforcement learning models for job shop scheduling problems52
Machine-learning based process monitoring for automated composites manufacturing52
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation50
Generative AI in industrial machine vision: a review50
Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM49
A chip inspection system based on a multiscale subarea attention network47
Collaborative knowledge management to identify data analytics opportunities in additive manufacturing46
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case45
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design44
Reinforcement learning for sustainability enhancement of production lines44
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)42
Real-time monitoring of molten zinc splatter using machine learning-based computer vision41
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations40
Stable pushing in narrow passage environment using a modified hybrid A* algorithm39
Nash equilibrium as a tool for the Car Sequencing Problem 4.038
Combining human guidance and structured task execution during physical human–robot collaboration38
Real-time detection of blade surface defects based on the improved RT-DETR38
Explainable neural network for time series-based condition monitoring in sheet metal shearing38
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing38
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning36
Federated learning-based collaborative manufacturing for complex parts36
Fourth-party logistics network design with service time constraint under stochastic demand36
Surface defect detection method for air rudder based on positive samples35
A nesting optimization method based on digital contour similarity matching for additive manufacturing34
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning33
Research on flexible job shop scheduling problem with AGV using double DQN33
Experience from implementing digital twins for maintenance in industrial processes33
Comparative analysis of different machine vision algorithms for tool wear measurement during machining32
HA$$R^{2}$$bot: a human-centered augmented reality robot programming method with the awareness of cognitive load32
An ontology model for maintenance strategy selection and assessment32
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review32
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning31
Online tool condition monitoring in micromilling using LSTM31
Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems31
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process31
Digital twin-driven real-time suppression of delamination damage in CFRP drilling30
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments29
Welding defects recognition based on DCP-MobileViT network29
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation29
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation28
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks27
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection27
Anticipatory analysis of AGV trajectory in a 5G network using machine learning27
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification27
Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages26
Camera-based safety system for collaborative assembly26
Development of a cyber physical production system framework for smart tool health management26
A systematic multi-layer cognitive model for intelligent machine tool26
A novel joint segmentation approach for wafer surface defect classification based on blended network structure26
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor26
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture25
Multi-layer process control in selective laser melting: a reinforcement learning approach25
Automatic recognition of hot spray marking dot-matrix characters for steel-slab industry25
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks25
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions25
Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective24
Design and application of digital twin system for the blade-rotor test rig24
A digital shadow framework using distributed system concepts24
A variational autoencoder for a semiconductor fault detection model robust to process drift due to incomplete maintenance24
Steel ball surface inspection using modified DRAEM and machine vision24
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery23
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing23
Foreign objects detection using deep learning techniques for graphic card assembly line23
Powder bed monitoring via digital image analysis in additive manufacturing22
Task allocation model for human-robot collaboration with variable cobot speed22
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model22
A hybrid genetic algorithm for parallel machine scheduling with setup times22
Few-shot RUL estimation based on model-agnostic meta-learning22
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing22
Equipment electrocardiogram (EECG): making intelligent production line more robust21
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing21
Sheet metal localization using deep learning and synthetic data21
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing21
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework21
Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems21
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models21
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection20
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders20
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing20
A systematic online update method for reduced-order-model-based digital twin20
Online prediction of composite material drilling quality based on multi-sensor fusion20
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios20
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning20
A novel 2.5D machining feature recognition method based on ray blanking algorithm20
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics20
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance19
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults19
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features19
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process19
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application19
An unsupervised defect detection model for a dry carbon fiber textile19
A novel deep learning motivated data augmentation system based on defect segmentation requirements19
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach19
Knowledge-embedded machine learning and its applications in smart manufacturing18
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data18
Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric18
Safe human–robot collaboration for industrial settings: a survey18
Probabilistic predictive control of porosity in laser powder bed fusion18
A hybrid prognosis approach for life prediction of gears subjected to progressive pitting failure mode18
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment18
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks18
Global and local representation collaborative learning for few-shot learning18
Hierarchical multi-scale network for cross-scale visual defect detection18
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion17
Enhanced cuckoo search algorithm for industrial winding process modeling17
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches17
Workplace performance measurement: digitalization of work observation and analysis17
Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning17
Prediction of aircraft panel assembly deformation using a combined prediction model17
Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing17
A digital solution for CPS-based machining path optimization for CNC systems16
A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines16
Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach16
Automatic model generation for material flow simulations of Third-Party Logistics16
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines16
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning16
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks16
Differential contrast guidance for aeroengine fault diagnosis with limited data16
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions16
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach16
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison16
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source15
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography15
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting15
Object detection for blind inspection of industrial products based on neural architecture search15
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components15
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry15
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals15
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning15
Deep reinforcement learning methods for structure-guided processing path optimization15
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin15
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression15
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg15
A review and classification of manufacturing ontologies14
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld14
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory14
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models14
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration14
Real-time forging process control: integrating billet-related surrogate and machine behavior models14
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning14
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches14
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
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data14
Measuring manufacturing system complexity: a literature review14
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case14
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning14
Machine learning approach to packaging compatibility testing in the new product development process14
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection14
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning14
Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion13
Image deep learning in fault diagnosis of mechanical equipment13
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples13
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning13
Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process13
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling13
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects13
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average13
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks13
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing13
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling12
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming12
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 12
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach12
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding12
A multimodal fusion method for soldering quality online inspection12
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing12
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements12
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing12
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data12
Hyper-automation in manufacturing industry12
Cyber-physical systems: a bibliometric analysis of literature12
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes12
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets12
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning12
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques12
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction12
Reinforcement learning applications to machine scheduling problems: a comprehensive literature review12
An on-machine tool path generation method based on hybrid and local point cloud registration for laser deburring of ceramic cores11
Time series fault prediction via dual enhancement11
Discovering Granger causality with convolutional neural networks11
Autonomous VOs management based on industry 4.0: a systematic literature review11
Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization11
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot11
Human operator decision support for highly transient industrial processes: a reinforcement learning approach11
A novel quality inspection method based on free-form surface digital twin model11
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time11
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions11
Information fusion and systematic logic library-generation methods for self-configuration of autonomous digital twin11
Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning11
An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed11
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