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Published in 2025 at "AIChE Journal"
DOI: 10.1002/aic.70097
Abstract: A comprehensive understanding of the continuous variation and deformation of rising bubbles is essential for precise reactor scale‐up and process optimization. This work combines telecentric vision probe and bubble boundary R‐CNN with a newly developed…
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Keywords:
classification;
input convnext;
multi input;
shape ... See more keywords
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Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09764-y
Abstract: In order to enhance the discernment of features in view-based 3D shape recognition, we propose a joint convolutional neural network (CNN) learning model based on informative images. It learns deep features from intrinsic feature images…
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Keywords:
informative images;
shape;
based informative;
rigid shape ... See more keywords
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Published in 2020 at "Construction and Building Materials"
DOI: 10.1016/j.conbuildmat.2020.119356
Abstract: Abstract Aggregate plays the role of skeleton filling in asphalt pavements. The shape of the aggregate affects the embedded structure between the aggregates, thus affecting the performance of asphalt concrete. In this study, extreme gradient…
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Keywords:
classification;
gradient boosting;
extreme gradient;
aggregate ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3581901
Abstract: This study presents a novel feature vector for shape clustering based on the Branch Length Similarity (BLS) entropy profile, which is invariant to translation, rotation, and scaling, enhancing its effectiveness for shape analysis. The methodology…
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Keywords:
branch length;
shape;
shape classification;
length similarity ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3061422
Abstract: The success of deep learning methods led to significant breakthroughs in 3-D point cloud processing tasks with applications in remote sensing. Existing methods utilize convolutions that have some limitations, as they assume a uniform input…
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Keywords:
point transformer;
shape classification;
model;
classification retrieval ... See more keywords
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Published in 2019 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2018.2866793
Abstract: Multi-view deep neural network is perhaps the most successful approach in 3D shape classification. However, the fusion of multi-view features based on max or average pooling lacks a view selection mechanism, limiting its application in,…
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Keywords:
veram view;
attention;
view;
shape classification ... See more keywords
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Published in 2024 at "Plants"
DOI: 10.3390/plants13172357
Abstract: Fruit shape significantly impacts the quality and commercial value of tomatoes (Solanum lycopersicum L.). Precise grading is essential to elucidate the genetic basis of fruit shape in breeding programs, cultivar descriptions, and variety registration. Despite…
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Keywords:
classification;
shape;
machine;
shape classification ... See more keywords