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Low-Cost 3D Scanning Applied to Packaging Design
The use of models generated by 3D scanning in Design projects, particularly in the production of packaging, has been gaining relevance as scanning...
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Scanning Path Planning of Ultrasonic Testing Robot Based on Deep Image Processing
AbstractAiming at the problems of long time consuming and low precision of manual teaching or off-line programming in scanning path planning of...
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An exploratory study of dynamic foot shape measurements with 4D scanning system
Accurate and reliable foot measurements at different stances offer comprehensive geometrical information on foot, thus enabling a more comfortable...
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Automatic characterization of spherical metal powders by microscope image analysis: a parallel computing approach
The microstructural characteristics of spherical metal powders play an important role in determining the quality of mechanical parts manufactured by...
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Scanning Electrochemical Microscope Based on Visual Recognition and Machine Learning
Scanning electrochemical microscopy is an advanced tool for studying electrochemically active surfaces, including biological ones. Experiments with...
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Lightweight deep learning model for automatic landslide prediction and localization
There has been a lot of interest in utilizing remote sensing images to anticipate landslides. We propose a novel framework for automatic landslide...
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Finite state machine and ultrasonic ranging-based approach for automatic gras** by aerial manipulator
This paper introduces an experiment-based recognition and gras** control method for aerial manipulators. The method consists of two parts: an...
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Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy
BackgroundNeuronavigation of preoperative MRI is limited by several errors. Intraoperative ultrasound (iUS) with navigated probes that provide...
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Automatic spraying motion planning of a shotcrete manipulator
Shotcrete manipulator has been widely used in the construction of high-speed railways, coal mines, and other tunnels. At present, workers are still...
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Phantom study of a fully automatic radioactive seed placement robot for the treatment of skull base tumours
BackgroundInterstitial brachytherapy is a form of intensive local irradiation that facilitates the effective protection of surrounding structures and...
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ACE-DNV: Automatic classification of gaze events in dynamic natural viewing
Eye movements offer valuable insights for clinical interventions, diagnostics, and understanding visual perception. The process usually involves...
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Automatic spectrum recognition system for charge state analysis in electron cyclotron resonance ion sources
The Electron Cyclotron Resonance (ECR) ion source is a critical device for producing highly charged ion beams in various applications. Analyzing the...
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Automatic tooth instance segmentation and identification from panoramic X-Ray images using deep CNN
Due to deep learning’s success in many medical applications, it is regarded as a significant technique for use in the area of dentistry, where...
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Automatic acquisition method of tomographic netlist of circuit board in view of deep learning
Circuit board netlist extraction technology is becoming more and more mature, and circuit board integration is getting higher and higher. Electronic...
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An Efficient Technique Based on Deep Learning for Automatic Focusing in Microscopic System
During microscopic examination process, experts firstly determine the most appropriate focusing point by precisely moving the microscope stage in the...
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Towards routine 3D characterization of intact mesoscale samples by multi-scale and multimodal scanning X-ray tomography
Non-invasive multi-scale and multimodal 3D characterization of heterogeneous or hierarchically structured intact mesoscale samples is of paramount...
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Automatic imagery Bank Cheque data extraction based on machine learning approaches: a comprehensive survey
Bank Cheques are used mainly for financial transactions due to which they are processed in enormous amounts on daily basis around the globe. Often,...
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High-precision automatic identification method for dicentric chromosome images using two-stage convolutional neural network
Dicentric chromosome analysis is the gold standard for biological dose assessment. To enhance the efficiency of biological dose assessment in...
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FF-ViT: probe orientation regression for robot-assisted endomicroscopy tissue scanning
PurposeProbe-based confocal laser endomicroscopy (pCLE) enables visualization of cellular tissue morphology during surgical procedures. To capture...
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3D scanning of Upper Limb anatomy by a depth-camera-based system
The 3D reconstruction of upper limb anatomy plays a significant role in many biomedical fields such as ergonomics, motion rehabilitation, and...
