Articles with "lightweight network" as a keyword



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A new bio-material with 3D lightweight network for energy and advanced applications

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Published in 2018 at "Cellulose"

DOI: 10.1007/s10570-018-1652-3

Abstract: A novel approach to modifying native cellulosic fibers by phosphorylation, glycerol grafting and further cross-linking by citric acid had been successfully investigated. The conductivity of the resulting cellulose-based material was measured to be 3 × 10−3 S cm−1, approximately… read more here.

Keywords: new bio; lightweight network; energy; bio material ... See more keywords
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Real-Time Segmentation Method of Lightweight Network For Finger Vein Using Embedded Terminal Technique

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2020.3046108

Abstract: Because the existing finger vein segmentation networks are too large and not suitable for implementation in mobile terminals, the reduction of the parameters of the lightweight network leads to the reduction of the segmentation index,… read more here.

Keywords: time; lightweight network; finger vein; segmentation ... See more keywords
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MADNet: A Fast and Lightweight Network for Single-Image Super Resolution

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Published in 2021 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2020.2970104

Abstract: Recently, deep convolutional neural networks (CNNs) have been successfully applied to the single-image super-resolution (SISR) task with great improvement in terms of both peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). However, most of the… read more here.

Keywords: image super; resolution; lightweight network; super resolution ... See more keywords
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Multiple Activation Functions and Data Augmentation-Based Lightweight Network for In Situ Tool Condition Monitoring

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Published in 2022 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2021.3139202

Abstract: Intelligent manufacturing raises higher requirements for tool condition monitoring (TCM) in terms of accuracy, robustness, and adaptability. At present, direct methods based on image processing and deep learning have made breakthroughs in TCM. However, some… read more here.

Keywords: condition monitoring; lightweight network; network; multiple activation ... See more keywords
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Apple Fruit Recognition Based on a Deep Learning Algorithm Using an Improved Lightweight Network

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Published in 2021 at "Applied Engineering in Agriculture"

DOI: 10.13031/aea.14041

Abstract: HIGHLIGHTSA deep learning algorithm with an improved lightweight network was used to identify apple fruit.Multiscale pooling was used to reduce the image size and enrich the features.Compound scaling was used to scale the basic network.The… read more here.

Keywords: apple; lightweight network; fruit; algorithm ... See more keywords
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A Lightweight Network for Accurate Coronary Artery Segmentation Using X-Ray Angiograms

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Published in 2022 at "Frontiers in Public Health"

DOI: 10.3389/fpubh.2022.892418

Abstract: An accurate and automated segmentation of coronary arteries in X-ray angiograms is essential for cardiologists to diagnose coronary artery disease in clinics. The existing deep learning-based coronary arteries segmentation models focus on using complex networks… read more here.

Keywords: lightweight network; network; ray angiograms; segmentation ... See more keywords
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Efficient Shot Detector: Lightweight Network Based on Deep Learning Using Feature Pyramid

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Published in 2021 at "Applied Sciences"

DOI: 10.3390/app11188692

Abstract: Convolutional-neural-network (CNN)-based methods are continuously used in various industries with the rapid development of deep learning technologies. However, an inference efficiency problem was reported in applications that require real-time performance, such as a mobile device.… read more here.

Keywords: lightweight network; network; feature; shot detector ... See more keywords
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Driving Behavior Recognition Algorithm Combining Attention Mechanism and Lightweight Network

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Published in 2022 at "Entropy"

DOI: 10.3390/e24070984

Abstract: In actual driving scenes, recognizing and preventing drivers’ non-standard driving behavior is helpful in reducing traffic accidents. To resolve the problems of various driving behaviors, a large range of action, and the low recognition accuracy… read more here.

Keywords: attention mechanism; lightweight network; mechanism lightweight; network ... See more keywords