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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 2025 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2024ms004646
Abstract: Accurate simulation of atmospheric photochemistry is essential for air quality and climate studies but computationally expensive in three‐dimensional atmospheric models. Artificial intelligence (AI) algorithms show promise for accelerating photochemical simulations, but integrating them reliably into…
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Keywords:
mapping subspace;
feature mapping;
attention;
photochemistry ... 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 2025 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.34.2.023004
Abstract: Abstract. Low-light image enhancement is a challenging task, and zero-reference deep curve estimation (Zero-DCE) is a popular method. However, due to the accumulation of results during the iterative process, Zero-DCE often leads to excessive enhancement.…
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Keywords:
low light;
feature mapping;
dynamic feature;
image enhancement ... 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 2025 at "Algorithms"
DOI: 10.3390/a18030131
Abstract: For daily activity recognition in smart homes, it is possible to reduce the effort required for labeling by transferring a trained model. This involves utilizing a labeled daily activity dataset from one smart home to…
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Keywords:
feature mapping;
smart homes;
fine grained;
daily activity ... 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