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1
Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15581
Abstract: PURPOSE Online dose verification based on proton-induced positron emitters requires high accuracy in the assignment of elemental composition (e.g. C and O). We developed a machine learning framework for deriving oxygen and carbon concentration based…
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Keywords:
unet resnet;
carbon;
resnet;
machine learning ... See more keywords
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Published in 2021 at "Journal of Field Robotics"
DOI: 10.1002/rob.21998
Abstract: Fresh market apples are one of the high‐value crops in the United States. Washington alone has produced two‐thirds of the annual national production in the past 10 years. However, the availability of seasonal labor is…
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Keywords:
shaking points;
automated harvesting;
resnet;
computer vision ... See more keywords
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Published in 2022 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2022.104534
Abstract: Because of COVID-19's effect on pulmonary tissues, Chest X-ray(CXR) and Computed Tomography (CT) images have become the preferred imaging modality for detecting COVID-19 infections at the early diagnosis stage when the symptoms are not specific.…
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Keywords:
chest ray;
resnet;
image classification;
classification ... See more keywords
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Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.112178
Abstract: Abstract This paper introduces a novel approach to estimate the wind direction over the sea from Synthetic Aperture Radar (SAR) images without any external information. The method employs deep residual network (ResNet), a variant of…
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Keywords:
wind direction;
direction retrieval;
resnet;
sar images ... See more keywords
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Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac8f12
Abstract: Objective. This work presents an ECG classifier for variable leads as a contribution to the Computing in Cardiology Challenge/CinC Challenge 2021. It aims to integrate deep and classic machine learning features into a single model,…
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Keywords:
handcrafted features;
classification;
resnet;
ensemble classification ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3096550
Abstract: Ripeness classification is one of the most challenging tasks in the postharvest management of mulberry fruit. The risks of microbial contamination and human error in manual sorting are significant; it may result in quality degradation…
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Keywords:
resnet;
accuracy;
mulberry ripeness;
classification ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3249298
Abstract: The identification of aircraft wake vortex is an essential issue in the operation of airspace utilization ratio. In particular, accurately identifying wake vortex in fine classification is helpful to guide separation standards under realistic airport…
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Keywords:
wake vortex;
resnet;
identification;
mini architectures ... See more keywords
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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3230992
Abstract: Voice user interface (VUI) brings high efficiency and convenience for the applications of Internet of Things (IoT), meanwhile, it can also cause increasingly serious security issues. The word-level voice liveness detection is proved to be…
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Keywords:
resnet;
voice;
self attentional;
detection ... See more keywords
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2
Published in 2022 at "IEEE Journal of Translational Engineering in Health and Medicine"
DOI: 10.1109/jtehm.2022.3180933
Abstract: Objective: To develop an objective and efficient method to automatically identify Parkinson’s disease (PD) and healthy control (HC). Methods: We design a novel model based on residual network (ResNet) architecture, named PD-ResNet, to learn the…
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Keywords:
resnet;
classification;
parkinson disease;
accuracy precision ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3033149
Abstract: To build small and efficient neural networks for hyperspectral image (HSI) classification, this letter presents a depthwise separable residual neural network (ResNet). This approach, motivated by the popular MobileNet architecture, decomposes the traditional spatial-spectral convolution…
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Keywords:
map framework;
depthwise separable;
resnet;
classification ... See more keywords
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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3148202
Abstract: Neural networks (NNs) have been successfully deployed in various applications of artificial intelligence. However, architectural design of NNs is still a challenging problem. This is due to the need to navigate a search space based…
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Keywords:
predictor;
resnet;
architecture;
search ... See more keywords