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Published in 2022 at "Soft Computing"
DOI: 10.1007/s00500-021-06387-9
Abstract: The popularity of deep learning architecture is increasing day by day. But the majority of deep learning algorithms have their own limitations, such as slow convergence, high training time, sensitivity to noisy data, the problem…
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Keywords:
multilayer elm;
learning algorithms;
multilayer;
feature mapping ... See more keywords
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Published in 2018 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2018.09.002
Abstract: Abstract Owing to the rapid development of remote sensing technology, various types of data can be easily acquired at present. However, it has become an important but more challenging task for effectively highlighting changes occurring…
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Keywords:
feature;
remote sensing;
feature mapping;
mapping network ... See more keywords
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Published in 2019 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2019.06.003
Abstract: Most of the existed vein features are lack of robustness to light intensity variation, and some algorithms rely on the specified vein data sets, which leads to the limitation of real applications. To solve the…
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Keywords:
vein;
vein recognition;
recognition;
algorithm based ... See more keywords
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Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1209830
Abstract: [This corrects the article DOI: 10.3389/fnins.2023.1144248.].
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Keywords:
feature mapping;
classified carotid;
inflammation classified;
corrigendum morphological ... See more keywords
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Published in 2022 at "Foods"
DOI: 10.3390/foods11233914
Abstract: Rice is a widely consumed food across the world. Whilst the world recovers from COVID-19, food manufacturers are looking to enhance their quality inspection processes for satisfying exportation requirements and providing safety assurance to their…
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Keywords:
feature mapping;
rice leaf;
rice;
detection ... See more keywords