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Multi-channel anomaly detection using graphical models
Anomaly detection in multivariate time-series data is critical for monitoring asset conditions, enabling prompt fault detection and diagnosis to...
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Enhancing weld line visibility prediction in injection molding using physics-informed neural networks
This study introduces a novel approach using Physics-Informed Neural Networks (PINN) to predict weld line visibility in injection-molded components...
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Revolutionizing sheet metal stam** through industry 5.0 digital twins: a comprehensive review
In this manuscript, we present a comprehensive overview of true digital twin applications within the manufacturing industry, specifically delving...
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Design of multi-modal feedback channel of human–robot cognitive interface for teleoperation in manufacturing
Teleoperation, which is a specific mode of human–robot collaboration enabling a human operator to provide instructions and monitor the actions of the...
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Stable pushing in narrow passage environment using a modified hybrid A* algorithm
Pushing is a fundamental ability in mobile robotics for transporting objects when grippers are not applicable. A successful “box-pushing” requires...
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Two-phase cost-sensitive-learning-based framework on customer-side quality inspection for TFT-LCD industry
The Covid-19 outbreak in 2020 boosted the stay-at-home economy, causing a surge in electronics industry demand, especially benefiting the LCD panel...
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MPTP-Net: melt pool temperature profile network for thermal field modeling in beam sha** of laser powder bed fusion
To thoroughly investigate the impact of beam sha** on melt pool behavior and accurately predict the microstructure and mechanical properties of the...
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Efficient textile anomaly detection via memory guided distillation network
Textile anomaly detection with high accuracy and fast frame rates are desired in real industrial scenarios. To this end, we propose an efficient...
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Foreground–background separation transformer for weakly supervised surface defect detection
In industrial scenarios, weakly supervised pixel-level defect detection methods leverage image-level labels for training, significantly reducing the...
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Trigonometric-based mechanisms hybridized African vulture optimization algorithm for multi-manned disassembly line balancing involving worker heterogeneity and collaboration
The rapid replacement of large-scale end-of-life (EOL) heavy machineries like automobiles, aircrafts and industrial robots necessitates efficient...
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Improved wafer map defect pattern classification using automatic data augmentation based lightweight encoder network in contrastive learning
In recent years, supervised learning has been the predominant method for wafer map defect pattern classification (WM-DPC), requiring a substantial...
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Allocation of geometrical errors for develo** precision measurement machine
A high-precision measurement machine tool faces the challenge of correlating the overall motion accuracy with the components form and positional...
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Prediction of crater morphology and its application for enhancing dimensional accuracy in micro-EDM
As a non-conventional machining technique, the micro electrical discharge machining (micro-EDM) process primarily involves the removal of material...
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A digital twin approach for weld penetration prediction of tig welding with dual ellipsoid heat source
Tungsten Inert Gas (TIG) welding is a manufacturing process that utilizes argon as a shielding gas and tungsten as an electrode to join metals at...
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A chip inspection system based on a multiscale subarea attention network
Cavities in a weld seriously affect the airtightness of the chip, which makes chip inspection a crucial step in intelligent manufacturing. In recent...
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Dual visual inspection for automated quality detection and printing optimization of two-photon polymerization based on deep learning
Two-photon polymerization (TPP) has emerged as an advanced additive manufacturing technique, allowing for the creation of three-dimensional...
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Cognitive manufacturing: definition and current trends
Manufacturing systems have recently witnessed a shift from the widely adopted automated systems seen throughout industry. The evolution of Industry...
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A review and classification of manufacturing ontologies
One core concept of Industry 4.0 is establishing highly autonomous manufacturing environments. In the vision of Industry 4.0, the product leads its...
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Research on salient object detection algorithm for complex electrical components
Due to the complexity of electrical components, traditional edge detection methods cannot always accurately extract key edge features of them....
