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Published in 2022 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-021-01477-4
Abstract: With the development of machine learning, a data-driven model has been widely used in vibration signal fault diagnosis. Most data-driven machine learning algorithms are built based on well-designed features, but feature extraction is usually required…
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Keywords:
extraction;
feature extraction;
vibration signal;
classification algorithm ... See more keywords
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1
Published in 2021 at "Vibrational Spectroscopy"
DOI: 10.1016/j.vibspec.2021.103249
Abstract: Abstract Rice origin identification can provide brand protection for rice with geographical indications. Therefore, it is necessary to design a convenient and fast detection method to meet the demands of the market. Based on Raman…
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Keywords:
rice;
spectra;
spectroscopy;
analysis ... See more keywords
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Published in 2024 at "Computer-Aided Design and Applications"
DOI: 10.14733/cadaps.2024.s23.51-68
Abstract: . This study focuses on enhancing the automated extraction and classification techniques for intangible cultural elements, thereby advancing their digital preservation and transmission. Recognizing the distinctiveness and intricacies of intangible culture, we introduce an original…
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Keywords:
cultural elements;
extraction classification;
culture;
intangible cultural ... See more keywords
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Published in 2024 at "Computer-Aided Design and Applications"
DOI: 10.14733/cadaps.2025.s3.1-14
Abstract: . This article conducted data application and task performance optimization analysis of multiple distribution categories on a multimodal dataset. The impact construction of the model in different periods was achieved by implementing a long short-term…
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Keywords:
classification;
extraction classification;
feature extraction;
music feature ... See more keywords