Journal of Intelligent Manufacturing

Article	Citations
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection	235
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity	200
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction	177
From framework to industrial implementation: the digital twin in process planning	175
Digital Twin and web services for robotic deburring in intelligent manufacturing	175
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge	145
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning	127
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning	120
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network	103
Blockchain-based intelligent equipment assessment in manufacturing industry	101
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds	96
Detection and localization system for surface defects of automotive forgings based on machine vision	90
Surface reconstruction of glass bottles using neural implicit representations for manufacturing system	80
Reverse engineering for programmable logic controller structure estimation via white box networks	76
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles	74
Random convolution layer: an auxiliary method to improve fault diagnosis performance	72
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization	71
Warpage detection in 3D printing of polymer parts: a deep learning approach	71
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries	69
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models	67
Imbalanced fault diagnosis based on semi-supervised ensemble learning	65
Motion stage precision prediction for photonic integrated circuit assembly	65
Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM	64
A dynamic surface roughness prediction system based on machine learning for the 3D-printed carbon-fiber-reinforced-polymer (CFRP) turning	61
Machining tool identification utilizing temporal 3D point clouds	55

Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)	53
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning	51
Generative AI in industrial machine vision: a review	50
A multitask context-aware approach for design lesson-learned knowledge recommendation in collaborative product design	49
Machining accuracy prediction and adaptive compensation method of CNC machine tool under absence of machining process sensing	48
Explainable neural network for time series-based condition monitoring in sheet metal shearing	48
Real-time monitoring of molten zinc splatter using machine learning-based computer vision	47
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case	46
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations	45
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation	44
A chip inspection system based on a multiscale subarea attention network	44
Stable pushing in narrow passage environment using a modified hybrid A* algorithm	41
Fourth-party logistics network design with service time constraint under stochastic demand	40
Analysis of the performance of LSTM-DNN models with the consideration of signal complexity in milling processes	40
Mitigating manufacturing defects in laser-powder bed fusion: a design-led compensation framework for truss-based metallic lattices	40
Real-time detection of blade surface defects based on the improved RT-DETR	38
Nash equilibrium as a tool for the Car Sequencing Problem 4.0	38
Combining human guidance and structured task execution during physical human–robot collaboration	38
Design patterns of deep reinforcement learning models for job shop scheduling problems	37
Reinforcement learning for sustainability enhancement of production lines	37
Federated learning-based collaborative manufacturing for complex parts	37
Machine-learning based process monitoring for automated composites manufacturing	36
Enhancing weld line visibility prediction in injection molding using physics-informed neural networks	36
Online tool condition monitoring in micromilling using LSTM	36
A scientometric review of digital twin in 3G to 6G networks: industry applications and trends	35
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning	35
Comparative analysis of different machine vision algorithms for tool wear measurement during machining	35
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification	34
A new characterization method for rapid prediction of recrystallization damage in single crystal superalloys considering plastic deformation	34
A nesting optimization method based on digital contour similarity matching for additive manufacturing	33
Use of optical sensors and artificial neural networks for precision measurement and fault detection in metallurgical environments	33
An ontology model for maintenance strategy selection and assessment	32
Vision-centric 3D point cloud technique and custom gripper process for parcel depalletisation	31
Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review	31
Welding defects recognition based on DCP-MobileViT network	31
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection	31
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process	30
Surface defect detection method for air rudder based on positive samples	30
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning	30
Digital twin-driven real-time suppression of delamination damage in CFRP drilling	29
Experience from implementing digital twins for maintenance in industrial processes	28
A novel joint segmentation approach for wafer surface defect classification based on blended network structure	28
Research on flexible job shop scheduling problem with AGV using double DQN	28
HA$$R^{2}$$bot: a human-centered augmented reality robot programming method with the awareness of cognitive load	28
3DWS: reliable segmentation on intelligent welding systems with 3D convolutions	27
Powder bed monitoring via digital image analysis in additive manufacturing	27
Automated real-time detection of surface defects in manufacturing processes of aluminum alloy strip using a lightweight network architecture	27
Foreign objects detection using deep learning techniques for graphic card assembly line	26
Multi-layer process control in selective laser melting: a reinforcement learning approach	26
Anticipatory analysis of AGV trajectory in a 5G network using machine learning	26

Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks	26
Employing natural language processing to build a knowledge graph in the realm of additive manufacturing	26
A digital shadow framework using distributed system concepts	26
Interpretable data-driven framework for life prediction of homogenous lead-free solder joints in ball grid array packages	26
Steel ball surface inspection using modified DRAEM and machine vision	26
A systematic multi-layer cognitive model for intelligent machine tool	26
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor	25
Development of a cyber physical production system framework for smart tool health management	25
Camera-based safety system for collaborative assembly	25
Unknown-class recognition adversarial network for open set domain adaptation fault diagnosis of rotating machinery	25
Concept for the automated adaption of abstract planning domains for specific application cases in skills-based industrial robotics	24
Equipment electrocardiogram (EECG): making intelligent production line more robust	24
An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing	24
A systematic online update method for reduced-order-model-based digital twin	24
Intelligent G-code-based power prediction of ultra-precision CNC machine tools through 1DCNN-LSTM-Attention model	24
Sheet metal localization using deep learning and synthetic data	24
Few-shot RUL estimation based on model-agnostic meta-learning	24
Task allocation model for human-robot collaboration with variable cobot speed	23
An unsupervised defect detection model for a dry carbon fiber textile	23
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process	23
Multi-source wafer map retrieval based on contrastive learning for root cause analysis in semiconductor manufacturing	23
Online prediction of composite material drilling quality based on multi-sensor fusion	23
A novel unsupervised graph wavelet autoencoder for mechanical system fault detection	23
Evaluation of the reliability of resistance spot welding control via on-line monitoring of dynamic resistance	23
Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric	23
Technical language processing for Prognostics and Health Management: applying text similarity and topic modeling to maintenance work orders	23
Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning	23
A hybrid genetic algorithm for parallel machine scheduling with setup times	22
Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing	22
A digital twin emulator for production performance prediction and optimization using multi-scale 1DCNN ensemble and surrogate models	22
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features	22
A hybrid prognosis approach for life prediction of gears subjected to progressive pitting failure mode	22
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application	22
Simulation and deep reinforcement learning for adaptive dispatching in semiconductor manufacturing systems	22
ReflowNet: ConvLSTM-based direct reflow oven recipe optimization framework	22
Correction to: Toward online layer-wise surface morphology measurement in additive manufacturing using a deep learning-based approach	22
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing	22
Industrial vision inspection using digital twins: bridging CAD models and realistic scenarios	21
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data	21
Knowledge-embedded machine learning and its applications in smart manufacturing	21
A novel 2.5D machining feature recognition method based on ray blanking algorithm	21
Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing	21
Correction to: Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches	21
Smart classification method to detect irregular nozzle spray patterns inside carbon black reactor using ensemble transfer learning	21
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults	21
A novel deep learning motivated data augmentation system based on defect segmentation requirements	21
Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks	21
Safe human–robot collaboration for industrial settings: a survey	21
A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines	20
Prediction of aircraft panel assembly deformation using a combined prediction model	20
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison	20
Hierarchical multi-scale network for cross-scale visual defect detection	20
Automatic model generation for material flow simulations of Third-Party Logistics	19
Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing	19
Binocular vision and priori data based intelligent pose measurement method of large aerospace cylindrical components	19
Early fault diagnosis in rolling element bearings: comparative analysis of a knowledge-based and a data-driven approach	19
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines	19
Workplace performance measurement: digitalization of work observation and analysis	18
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment	18
A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source	18
Differential contrast guidance for aeroengine fault diagnosis with limited data	18
Global and local representation collaborative learning for few-shot learning	18
Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin	18
A digital solution for CPS-based machining path optimization for CNC systems	18
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions	18
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks	18
Enhanced cuckoo search algorithm for industrial winding process modeling	18
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning	18
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach	17
Object detection for blind inspection of industrial products based on neural architecture search	17
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting	17
Machine learning approach to packaging compatibility testing in the new product development process	17
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average	17
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection	17
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning	17
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry	17
Real-time forging process control: integrating billet-related surrogate and machine behavior models	17
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression	17
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data	16
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning	16

A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld	16
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals	16
Harnessing of in situ processing data to predict mechanical properties of laser powder bed fusion AlSi10Mg	16
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 environment	16
A review and classification of manufacturing ontologies	16
Measuring manufacturing system complexity: a literature review	16
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning	16
Towards label-free defect detection in additive manufacturing via dual-classifier semi-supervised learning for vision-language models	16
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration	16
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography	15
Image deep learning in fault diagnosis of mechanical equipment	15
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case	15
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming	15
Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach	15
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning	15
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory	15
Cyber-physical systems: a bibliometric analysis of literature	15
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
A multi-task effectiveness metric and an adaptive co-training method for enhancing learning performance with few samples	15
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches	15
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning	15
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects	15
A robust optimization model for the supplier portfolio selection problem using a combination of artificial fish swarm algorithm and simulated annealing	15
Real-time in-situ defect detection via multi-modal classification of waveforms for wire arc additive manufacturing	15
Hyper-automation in manufacturing industry	14
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing	14
Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing	14
Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks	14
Reinforcement learning applications to machine scheduling problems: a comprehensive literature review	14
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding	14
Explainable artificial intelligence and multi-stage transfer learning for injection molding quality prediction	14
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements	14
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling	14
State-of-the-art review of neural network applications in pharmaceutical manufacturing: current state and future directions	14
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes	14
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning	14
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling	14
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets	14
A novel disassembly process of end-of-life lithium-ion batteries enhanced by online sensing and machine learning techniques	14
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data	14
Optimizing operations of flexible assembly systems: demonstration of a digital twin concept with optimized planning and control, sensors and visualization	13
A multimodal fusion method for soldering quality online inspection	13
CowSSL: contrastive open-world semi-supervised learning for wafer bin map	13
Reinforcement learning approach for decision making in disassembly processes	13
Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning	13
Autonomous VOs management based on industry 4.0: a systematic literature review	13
A novel data augmentation method for few-shot industrial surface defect detection based on segment anything model adapter	13
YDRSNet: an integrated Yolov5-Deeplabv3 + real-time segmentation network for gear pitting measurement	13
A novel quality inspection method based on free-form surface digital twin model	13
Automatic extraction of inventive information out of patent texts in support of manufacturing design studies using Natural Languages Processing	13
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation	13
An imbalanced data learning approach for tool wear monitoring based on data augmentation	13
Human factors in cobot era: a review of modern production systems features	13
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot	13
An embedded TensorFlow lite model for classification of chip images with respect to chip morphology depending on varying feed	13
Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time	13
Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence	13
Discovering Granger causality with convolutional neural networks	13
Recognizing defects in stainless steel welds based on multi-domain feature expression and self-optimization	13
Human operator decision support for highly transient industrial processes: a reinforcement learning approach	13
Mechanism-fused Gaussian process regression model for tool-tip operational modes prediction in complex milling	13
Time series fault prediction via dual enhancement	13
Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin	12
A cloud-edge-based digital twin architecture for cyber-physical shop floors: design principles, function analysis, and case study	12
Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition	12
Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction	12
Deep reinforcement learning based approach for the search and engagement phase of the robotic screw unfastening process	12
A deep learning model for online prediction of in-process dynamic characteristics of thin-walled complex blade machining	12
A physically-informed machine learning model for freeform bending	12
Online force prediction by neural networks in single point incremental hole flanging operations	12
Manifold learning-assisted uncertainty quantification of system parameters in the fiber metal laminates hot forming process	12
Machine learning-based multi-objective optimization framework for industrial black nickel electroplating	12
Three-dimensional fabric smoothness evaluation using point cloud data for enhanced quality control	12
Traditional machine learning and deep learning for predicting melt-pool cross-sectional morphology of laser powder bed fusion additive manufacturing with thermographic monitoring	12
A systematic literature review on recent trends of machine learning applications in additive manufacturing	12
A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification	12
Infill pattern strategy impact on the cross-sectional area at gauge length of material extrusion 3D printed polylactic acid parts	12
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0	12
Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation	12
Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration	12
Research on recognition methods of spot-welding surface appearances based on transfer learning and a lightweight high-precision convolutional neural network	12
Nest smarter, not harder: a hybrid vision-based deep reinforcement learning agent for packing 2D irregular geometries by rotational placement	12
Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin	12
Simulation-based layout optimization for multi-station assembly lines	12
A predictive maintenance model for health assessment of an assembly robot based on machine learning in the context of smart plant	12
Physics-informed machine learning in intelligent manufacturing: a review	12
Collaborative robots for quality control: an overview of recent studies and emerging trends	12
One-shot learning for rapid generation of structured robotic manipulation tasks from 3D video demonstrations	11
Multi-source feature augmentation adversarial domain generalization method for tool wear condition monitoring on unseen machine tools	11
Incremental transfer learning for robot drilling state monitoring under multiple working conditions	11
Editorial for the special issue: AI and data-driven decisions in manufacturing	11
Automated surface defect detection framework using machine vision and convolutional neural networks	11
Adaptive fabrication of material extrusion-AM process using machine learning algorithms for print process optimization	11
Hybrid algorithm based on reinforcement learning for smart inventory management	11
Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network	11