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Akademický článek

A label learning approach using competitive population optimization algorithm feature selection to improve multi-label classification algorithms

Autor: Lianhe Cui

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 5, Pp 102083- (2024)

One of the crucial pre-processing stages in data mining and machine learning is feature selection, which is used to choose a subset of representative characteristics and decrease dimensions. By eliminating unnecessary and redundant features, feature

Externí odkaz: https://doaj.org/article/460407d55e074984b72d7b1c9a968477

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Akademický článek

Complex industrial automation data stream mining algorithm based on random Internet of robotic things

Autor: Lianhe Cui

Publikováno v: Automatika, Vol 60, Iss 5, Pp 570-579 (2019)

In recent years, with the continuous development of computer application technology, network technology, data storage technology, and the large amount of investment in information technology, enterprises have accumulated a large amount of data while

Externí odkaz: https://doaj.org/article/e4e00053d21e4dda8f381afb3b619a1c

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Akademický článek

Research on English translation distortion detection based on image evolution

Autor: Lianhe Cui

Publikováno v: EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-8 (2019)

Abstract At present, there are serious distortions in the translation of image English characters. In order to alleviate this problem, this study improves the traditional algorithm, uses the Canny edge detection method as the edge detection method th

Externí odkaz: https://doaj.org/article/b136846c429c4d79a970efefd6566168

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