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Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4706-1
Abstract: AbstractThis paper proposes a joint rapid spectrum scanning and signal feature recognition scheme by using both compressed sensing (CS) and cyclostationary technologies to solve the paradox of rapid spectrum scanning and accurate signal feature recognition.…
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Keywords:
rapid spectrum;
spectrum scanning;
signal feature;
feature recognition ... See more keywords
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Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac6b57
Abstract: Objective. Steady-state visual evoked potential (SSVEP) is an important control method of the brain–computer interface (BCI) system. The development of an efficient SSVEP feature decoding algorithm is the core issue in SSVEP-BCI. It has been…
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Keywords:
feature recognition;
transfer;
feature;
method ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2998164
Abstract: The ability to extract image features largely determines the accuracy of image classification. However, external interferences in images such as translation, rotation, scaling, occlusion, light, and non-linear deformation, result in greater intra-class differences and inter-class…
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Keywords:
attribute constraints;
hierarchical attribute;
feature;
image ... See more keywords
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Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/1890120
Abstract: With the development of society and the promotion of science and technology, English, as the largest universal language in the world, is used by more and more people. In the life around us, there is…
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Keywords:
neural network;
algorithm;
network;
feature recognition ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1478371
Abstract: This work aims to improve the feature recognition efficiency of painting images, optimize the style transfer effect of painting images, and save the cost of computer work. First, the theoretical knowledge of painting image recognition…
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Keywords:
recognition;
feature recognition;
transfer;
lightweight deep ... See more keywords
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Published in 2025 at "Lubricants"
DOI: 10.3390/lubricants13090378
Abstract: This study proposes an adaptive refinement method based on feature recognition to rapidly obtain solutions of the Reynolds equation. Leveraging an isogeometric analysis (IGA) solution framework supporting local refinement, three natural refinement features tailored to…
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Keywords:
refinement;
based feature;
feature recognition;
adaptive refinement ... See more keywords
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Published in 2022 at "Micromachines"
DOI: 10.3390/mi13101765
Abstract: Small target features are difficult to distinguish and identify in an environment with complex backgrounds. The identification and extraction of multi-dimensional features have been realized due to the rapid development of deep learning, but there…
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Keywords:
recognition;
feature recognition;
feature;
small target ... See more keywords