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Published in 2024 at "Mechanics Based Design of Structures and Machines"
DOI: 10.1080/15397734.2024.2335209
Abstract: Abstract This study investigates the vibrational behavior of three-phase polymer-glass fiber (FG)-carbon nanotubes (CNT) nanocomposites conical panels. Effects of the wavy shape of CNTs and the viscoelastic nature of the polymer matrix are considered. First…
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Keywords:
vibration characteristics;
free vibration;
conical panels;
characteristics multiscale ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3564855
Abstract: Clouds and their shadows hinder accurate analysis of optical remote sensing imagery, making cloud removal an indispensable preprocessing step in remote sensing. However, existing methods lack efficient long-range modeling capabilities and overlook the impact of…
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Keywords:
cloud shadow;
multiscale hybrid;
removal;
uncertainty ... See more keywords
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Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.5.053049
Abstract: Abstract. Action recognition in realistic scenes is a challenging task in the field of computer vision. Although trajectory-based methods have demonstrated promising performance, background trajectories cannot be filtered out effectively, which leads to a reduction…
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Keywords:
action recognition;
saliency;
multiscale hybrid;
hybrid masks ... See more keywords
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Published in 2021 at "Smart Structures and Systems"
DOI: 10.12989/sss.2021.27.4.667
Abstract: This research is deal with thermal buckling and post-buckling of carbon nanotube/fiber/polymer composite beams. The beam is considered to be under uniform temperature rise. Firstly, the effective material properties of a two phase nanocomposite consisting…
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Keywords:
thermal postbuckling;
composite beams;
postbuckling shear;
hybrid composite ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24091180
Abstract: Attention mechanisms can improve the performance of neural networks, but the recent attention networks bring a greater computational overhead while improving network performance. How to maintain model performance while reducing complexity is a hot research…
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Keywords:
neural networks;
multiscale hybrid;
hybrid convolutional;
channel attention ... See more keywords