Journal of Intelligent Manufacturing

Papers
(The TQCC of Journal of Intelligent Manufacturing is 8. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study163
GAN-based statistical modeling with adaptive schemes for surface defect inspection of IC metal packages148
High-precision point cloud registration system of multi-view industrial self-similar workpiece based on super-point space guidance138
BCTMSSF: a blockchain consensus-based traceability method for supply chain in smart factory94
In-situ evaluation of hole quality and cutting tool condition in robotic drilling of composite materials using machine learning93
CD3IS: cross dimensional 3D instance segmentation network for production workshop90
Revolutionizing sheet metal stamping through industry 5.0 digital twins: a comprehensive review90
A feature extraction method for intelligent chatter detection in the milling process88
Demand forecasting application with regression and artificial intelligence methods in a construction machinery company86
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning84
A path planning algorithm for PCB surface quality automatic inspection79
Improved multi-core arithmetic optimization algorithm-based ensemble mutation for multidisciplinary applications76
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network62
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case59
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold57
Towards scalable and reusable predictive models for cyber twins in manufacturing systems57
Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection56
Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography51
Flexible and robust detection for assembly automation with YOLOv5: a case study on HMLV manufacturing line51
Variability-enhanced knowledge-based engineering (VEN) for reconfigurable molds49
Remaining useful life prediction of milling cutters based on long-term data sequence and parallel fully convolutional feature learning48
A thermo-mechanical machining method for improving the accuracy and stability of the geometric shape of long low-rigidity shafts42
Multi-level joint distributed alignment-based domain adaptation for cross-scenario strip defect recognition42
The effects of role transitions and adaptation in human–cobot collaboration41
Improving surface quality in selective laser melting based tool making41
Self learning-empowered thermal error control method of precision machine tools based on digital twin41
Instant flow distribution network optimization in liquid composite molding using deep reinforcement learning40
Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning38
Temporal anomaly detection on IIoT-enabled manufacturing37
Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops37
Multi-channel anomaly detection using graphical models37
Welding monitoring and defect detection using probability density distribution and functional nonparametric kernel classifier37
Retraction Note: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems36
AutoML-driven diagnostics of the feeder motor in fused filament fabrication machines from direct current signals36
Improving imbalanced industrial datasets to enhance the accuracy of mechanical property prediction and process optimization for strip steel36
Effect and control of path parameters on thickness distribution of cylindrical cups formed via multi-pass conventional spinning35
Digital twin for product versus project lifecycles’ development in manufacturing and construction industries34
Optimization of laser annealing parameters based on bayesian reinforcement learning33
Lightweight convolutional neural network for fast visual perception of storage location status in stereo warehouse32
Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning31
A predictive modelling strategy for warpage and shrinkage defects in plastic injection molding using fuzzy logic and pattern search optimization31
A novel micro-defect classification system based on attention enhancement31
A virtual sensor for backlash in robotic manipulators31
A systematic mapping of semi-formal and formal methods in requirements engineering of industrial Cyber-Physical systems30
Warpage detection in 3D printing of polymer parts: a deep learning approach30
Gaussian-process based modeling and optimal control of melt-pool geometry in laser powder bed fusion29
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 environment28
Research on digital twin monitoring system for large complex surface machining28
Measuring manufacturing system complexity: a literature review28
A review and classification of manufacturing ontologies27
Data-driven product configuration improvement and product line restructuring with text mining and multitask learning27
Voxel-based sensor placement for additive manufacturing applications27
Multi-layer edge resource placement optimization for factories27
Autonomous self-healing mechanism for a CNC milling machine based on pattern recognition26
Research on salient object detection algorithm for complex electrical components25
Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems25
The 3D narrow butt weld seam detection system based on the binocular consistency correction25
Digital twin and predictive quality solution for insulated glass line25
A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling25
On the role of complexity in machining time estimation25
Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry25
Leveraging computer vision towards high-efficiency autonomous industrial facilities24
New metrics for measuring supply chain reconfigurability24
Casting plate defect detection using motif discovery with minimal model training and small data sets24
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld23
Evaluation of process planning in manufacturing by a neural network based on an energy definition of hopfield nets23
Digital Twin and web services for robotic deburring in intelligent manufacturing23
A hierarchical ensemble causal structure learning approach for wafer manufacturing23
An approach for designing smart manufacturing for the research and development of dye-sensitize solar cell22
Flexible dual-mode sensor with accurate contact pressure sensing and contactless distance detection functions for robotic perception22
Recent advances in human–robot interaction: robophobia or synergy22
Machine learning approach to packaging compatibility testing in the new product development process22
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network21
An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images21
A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models21
Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning20
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration20
Image deep learning in fault diagnosis of mechanical equipment20
Digital Twin-based manufacturing system: a survey based on a novel reference model20
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average20
Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network20
A framework for fault detection and diagnostics of articulated collaborative robots based on hybrid series modelling of Artificial Intelligence algorithms20
Random convolution layer: an auxiliary method to improve fault diagnosis performance19
Concurrent nonstationary process analysis model and its application in nonstationary process monitoring19
Object detection for blind inspection of industrial products based on neural architecture search19
Deep learning for machine health prognostics using Kernel-based feature transformation19
Indirect porosity detection and root-cause identification in WAAM19
Building digital-twin virtual machining for milling chatter detection based on VMD, synchro-squeeze wavelet, and pre-trained network CNNs with vibration signals19
Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process19
RFID systems optimisation through the use of a new RFID network planning algorithm to support the design of receiving gates18
A review of the bat algorithm and its varieties for industrial applications18
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning18
Online simulation task scheduling in cloud manufacturing with cross attention and deep reinforcement learning18
Smart sheet metal forming: importance of data acquisition, preprocessing and transformation on the performance of a multiclass support vector machine for predicting wear states during blanking18
A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles18
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review17
An intelligent prediction method of surface residual stresses based on multi-source heterogeneous data17
Novel method for detection of mixed-type defect patterns in wafer maps based on a single shot detector algorithm17
Large scale foundation models for intelligent manufacturing applications: a survey17
CENet: improve counting performance of X-ray surface mounted chip counter via scale favor and cell extraction17
Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches17
Deep learning-based conductive particle inspection for TFT-LCDs inspired by parametric space envelope17
Acoustic emission reflection signal classification of PVDF-type AE sensor using convolutional neural network-transfer learning16
Energy-time tradeoffs for remanufacturing system scheduling using an invasive weed optimization algorithm16
Digital twin-based real-time energy optimization method for production line considering fault disturbances16
Systematic comparison of software agents and Digital Twins: differences, similarities, and synergies in industrial production16
Automatic quality inspection in additive manufacturing using semi-supervised deep learning16
A digital twin-driven cutting force adaptive control approach for milling process16
Improving the functional performances for product family by mining online reviews16
A smart process controller framework for Industry 4.0 settings16
Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making15
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.015
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling15
A review of motion planning algorithms for intelligent robots15
Imbalanced fault diagnosis based on semi-supervised ensemble learning15
The integrated process planning and scheduling of flexible job-shop-type remanufacturing systems using improved artificial bee colony algorithm15
A fuzzy multi-criteria approach based on Clarke and Wright savings algorithm for vehicle routing problem in humanitarian aid distribution15
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing15
Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks14
Reference training system for intelligent manufacturing talent education: platform construction and curriculum development14
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning14
Conceptualizing the digital thread for smart manufacturing: a systematic literature review14
Optimization of processing parameters for waterjet-guided laser machining of SiC/SiC composites14
Deep reinforcement learning-based energy-aware disassembly planning for end-of-life products with stimuli-activated self-disassembly14
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression14
Modular production control using deep reinforcement learning: proximal policy optimization14
A digital apprentice for chatter detection in machining via human–machine interaction14
Survey on ontology-based explainable AI in manufacturing14
Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning14
Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing14
A novel machine learning algorithm for interval systems approximation based on artificial neural network14
Failure prediction in production line based on federated learning: an empirical study14
Investigating the influence of fidelity on the capability of a digital twin to detect material extrusion failures14
The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge14
From framework to industrial implementation: the digital twin in process planning14
Machine learning-based non-destructive method for identifying defect causes in OLED displays to enhance productivity13
A data-driven method for performance analysis and improvement in production systems with quality inspection13
Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning13
Optimization of buffer design for mixed-model sequential production line based on simulation and reinforcement learning13
Development of a cascaded multitask physics-informed neural network (CM-PINN) to construct the muti-physical field model of rubber bushing press fitting13
A high-precision in-situ monitoring system for laser directed energy deposition melt pool 3D morphology based on deep learning13
Correction: Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography13
Optimizing electrohydrodynamic direct-writing with multilayer perceptron: accurate and efficient predictions of jet profiles12
Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations12
Six-dimensional digital twin modeling and software platform design for complex industrial systems12
Switch ON/OFF learning of one-dimensional convolutional neural network and one-dimensional generative adversarial network for fault detection12
Simulation of semiconductor wafer dicing induced faults on chips and their application as augmentation method for a deep learning based visual inspection system12
Adaptive servo system for die-sinking micro-EDM driven by deep Q-network with online-offline combined data12
A bilevel optimisation model for the joint configuration of new and remanufactured products considering specification upgrading of used products11
Combining physics-based and data-driven methods in metal stamping11
A new effective decoupling method to identify the tracking errors of the motion axes of the five-axis machine tools11
Multicriteria task classification in human-robot collaborative assembly through fuzzy inference11
Design patterns of deep reinforcement learning models for job shop scheduling problems11
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation11
Automated porosity segmentation in laser powder bed fusion part using computed tomography: a validity study11
Developing an artificial neural network controller for accelerating the hot deformation of the titanium aluminide TNM-B1 using reinforcement learning and finite element simulations11
An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference11
Cyber-physical systems: a bibliometric analysis of literature11
Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets11
Appending-inspired multivariate time series association fusion for tool condition monitoring11
Machine learning guided design of experiments to accelerate exploration of a material extrusion process parameter space10
Deformation by design: data-driven approach to predict and modify deformation in thin Ti-6Al-4V sheets using laser peen forming10
Investigation on eXtreme Gradient Boosting for cutting force prediction in milling10
Exploring the applications of natural language processing and language models for production, planning, and control activities of SMEs in industry 4.0: a systematic literature review10
Conductive particle detection via efficient encoder–decoder network10
Wafer map defect recognition based on multi-scale feature fusion and attention spatial pyramid pooling10
A signal-to-image fault classification method based on multi-sensor data for robotic grinding monitoring10
Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor10
Collaborative approaches in sustainable and resilient manufacturing10
Hybrid data augmentation method for combined failure recognition in rotating machines10
A survey on HoloLens AR in support of human-centric intelligent manufacturing10
Monitoring and control framework for intelligent real-time optimization of printing sequence of powder bed fusion10
Towards industry 4.0 in practice: a novel RFID-based intelligent system for monitoring and optimisation of production systems10
A control architecture for continuous production processes based on industry 4.0: water supply systems application10
Multi-modal background-aware for defect semantic segmentation with limited data9
Nash equilibrium as a tool for the Car Sequencing Problem 4.09
A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training9
Efficient textile anomaly detection via memory guided distillation network9
A chip inspection system based on a multiscale subarea attention network9
Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning9
Optimization framework of laser oscillation welding based on a deep predictive reward reinforcement learning net9
A novel automatic classification approach for micro-flaws on the large-aperture optics surface based on multi-light source fusion and integrated deep learning architecture9
Development of a mobile 3D printer and comparative evaluation against traditional gantry systems9
Towards real-time in-situ monitoring of hot-spot defects in L-PBF: a new classification-based method for fast video-imaging data analysis9
Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study9
Simulation-based metaheuristic optimization algorithm for material handling9
Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing9
Attention mechanism and texture contextual information for steel plate defects detection9
Genetic algorithm optimization based on manufacturing prediction for an efficient tolerance allocation approach9
Cross-domain fusion and embedded refinement-based 6D object pose tracking on textureless objects9
An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures9
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery8
Automatic root cause analysis in manufacturing: an overview & conceptualization8
Competing refurbishment in a supply chain with different selling modes8
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding8
Methodology for complexity and cost comparison between subtractive and additive manufacturing processes8
Real-time monitoring of molten zinc splatter using machine learning-based computer vision8
Data-driven prediction of keyhole features in metal additive manufacturing based on physics-based simulation8
Using GANs to predict milling stability from limited data8
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling8
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering8
Context-sensitive lexicon for imbalanced text sentiment classification using bidirectional LSTM8
Machining tool identification utilizing temporal 3D point clouds8
Development of an adaptive tool condition monitoring system: integration of case-based reasoning with CNN8
Neural lumped parameter differential equations with application in friction-stir processing8
Predicting part distortion field in additive manufacturing: a data-driven framework8
Editorial: intelligent manufacturing systems towards industry 4.0 era8
On reliability of reinforcement learning based production scheduling systems: a comparative survey8
Reinforcement learning for sustainability enhancement of production lines8
A kind of intelligent dynamic industrial event knowledge graph and its application in process stability evaluation8
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing8
0.49187898635864