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 2021-06-01 to 2025-06-01.)
ArticleCitations
An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell195
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection167
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity148
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction146
From framework to industrial implementation: the digital twin in process planning143
Random convolution layer: an auxiliary method to improve fault diagnosis performance115
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization105
Blockchain-based intelligent equipment assessment in manufacturing industry101
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning99
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models96
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries85
Digital Twin and web services for robotic deburring in intelligent manufacturing84
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning70
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds66
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles64
Warpage detection in 3D printing of polymer parts: a deep learning approach63
Imbalanced fault diagnosis based on semi-supervised ensemble learning61
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge61
Self learning-empowered thermal error control method of precision machine tools based on digital twin58
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network58
Motion stage precision prediction for photonic integrated circuit assembly57
Machine-learning based process monitoring for automated composites manufacturing56
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation54
Generative AI in industrial machine vision: a review53
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning52
Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM50
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning48
A chip inspection system based on a multiscale subarea attention network47
Collaborative knowledge management to identify data analytics opportunities in additive manufacturing46
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design46
Reinforcement learning for sustainability enhancement of production lines46
Stable pushing in narrow passage environment using a modified hybrid A* algorithm42
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations42
Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)42
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing41
Nash equilibrium as a tool for the Car Sequencing Problem 4.040
Real-time detection of blade surface defects based on the improved RT-DETR40
Explainable neural network for time series-based condition monitoring in sheet metal shearing39
Combining human guidance and structured task execution during physical human–robot collaboration39
Federated learning-based collaborative manufacturing for complex parts39
Design patterns of deep reinforcement learning models for job shop scheduling problems38
Machining tool identification utilizing temporal 3D point clouds38
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case37
Real-time monitoring of molten zinc splatter using machine learning-based computer vision37
Fourth-party logistics network design with service time constraint under stochastic demand36
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning35
Experience from implementing digital twins for maintenance in industrial processes35
Task allocation and coordinated motion planning for autonomous multi-robot optical inspection systems34
HA$$R^{2}$$bot: a human-centered augmented reality robot programming method with the awareness of cognitive load34
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks34
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments33
Digital twin-driven real-time suppression of delamination damage in CFRP drilling33
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation32
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation32
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification31
Welding defects recognition based on DCP-MobileViT network31
Surface defect detection method for air rudder based on positive samples31
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning30
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process30
A nesting optimization method based on digital contour similarity matching for additive manufacturing30
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection29
Research on flexible job shop scheduling problem with AGV using double DQN28
Online tool condition monitoring in micromilling using LSTM28
Anticipatory analysis of AGV trajectory in a 5G network using machine learning27
Multi-layer process control in selective laser melting: a reinforcement learning approach27
Comparative analysis of different machine vision algorithms for tool wear measurement during machining27
A novel joint segmentation approach for wafer surface defect classification based on blended network structure27
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions27
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review27
An ontology model for maintenance strategy selection and assessment27
Development of a cyber physical production system framework for smart tool health management27
Automatic recognition of hot spray marking dot-matrix characters for steel-slab industry26
Steel ball surface inspection using modified DRAEM and machine vision26
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture26
A digital shadow framework using distributed system concepts25
A variational autoencoder for a semiconductor fault detection model robust to process drift due to incomplete maintenance25
Design and application of digital twin system for the blade-rotor test rig25
Foreign objects detection using deep learning techniques for graphic card assembly line25
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model24
A systematic multi-layer cognitive model for intelligent machine tool24
Powder bed monitoring via digital image analysis in additive manufacturing23
Camera-based safety system for collaborative assembly23
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks23
Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages23
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor22
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery22
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing22
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing22
Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective22
Few-shot RUL estimation based on model-agnostic meta-learning22
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning21
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing21
Equipment electrocardiogram (EECG): making intelligent production line more robust21
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection21
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models21
Sheet metal localization using deep learning and synthetic data21
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework21
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing21
A novel 2.5D machining feature recognition method based on ray blanking algorithm20
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios20
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance20
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics20
Online prediction of composite material drilling quality based on multi-sensor fusion20
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach20
A systematic online update method for reduced-order-model-based digital twin20
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process20
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features20
A hybrid prognosis approach for life prediction of gears subjected to progressive pitting failure mode19
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data19
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing19
A hybrid genetic algorithm for parallel machine scheduling with setup times19
Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric19
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults19
Probabilistic predictive control of porosity in laser powder bed fusion19
Knowledge-embedded machine learning and its applications in smart manufacturing18
Task allocation model for human-robot collaboration with variable cobot speed18
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment18
A novel deep learning motivated data augmentation system based on defect segmentation requirements18
An unsupervised defect detection model for a dry carbon fiber textile18
Safe human–robot collaboration for industrial settings: a survey18
Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems18
Hierarchical multi-scale network for cross-scale visual defect detection18
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders18
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application18
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks18
Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning18
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions17
Differential contrast guidance for aeroengine fault diagnosis with limited data17
A digital solution for CPS-based machining path optimization for CNC systems17
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach17
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning17
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches17
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines17
Enhanced cuckoo search algorithm for industrial winding process modeling17
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison17
Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing17
A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines17
Deep reinforcement learning methods for structure-guided processing path optimization17
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source17
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography16
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg16
Prediction of aircraft panel assembly deformation using a combined prediction model16
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components16
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry16
Object detection for blind inspection of industrial products based on neural architecture search16
Global and local representation collaborative learning for few-shot learning16
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
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression16
Workplace performance measurement: digitalization of work observation and analysis16
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks16
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin16
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection15
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning15
Machine learning approach to packaging compatibility testing in the new product development process15
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning15
Real-time forging process control: integrating billet-related surrogate and machine behavior models15
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld15
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data15
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models15
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches15
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 multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case14
Image deep learning in fault diagnosis of mechanical equipment14
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average14
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting14
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory14
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning14
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning14
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration14
A review and classification of manufacturing ontologies14
Measuring manufacturing system complexity: a literature review14
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks13
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples13
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning13
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing13
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals13
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects13
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding13
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling13
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction12
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming12
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling12
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
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
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions12
Human operator decision support for highly transient industrial processes: a reinforcement learning approach12
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques12
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements12
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach12
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data12
Reinforcement learning applications to machine scheduling problems: a comprehensive literature review12
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes12
Time series fault prediction via dual enhancement12
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time12
Hyper-automation in manufacturing industry12
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing12
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning12
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing12
Cyber-physical systems: a bibliometric analysis of literature12
Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization12
Discovering Granger causality with convolutional neural networks12
Machine learning-based multi-objective optimization framework for industrial black nickel electroplating11
A multimodal fusion method for soldering quality online inspection11
Information fusion and systematic logic library-generation methods for self-configuration of autonomous digital twin11
Autonomous VOs management based on industry 4.0: a systematic literature review11
YDRSNet: an integrated Yolov5-Deeplabv3 + real-time segmentation network for gear pitting measurement11
An imbalanced data learning approach for tool wear monitoring based on data augmentation11
Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration11
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation11
Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix11
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
Automatic extraction of inventive information out of patent texts in support of manufacturing design studies using Natural Languages Processing11
Human factors in cobot era: a review of modern production systems features11
Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition11
A novel parallel classification network for classifying three-dimensional surface with point cloud data11
Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence11
A novel quality inspection method based on free-form surface digital twin model11
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot11
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study11
Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin11
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