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Haoxiang Xu, Tongyao Ren, Zhuangda Mo and Xiaohui Yang
Since the classification methods mentioned in previous studies are currently unable to meet the accuracy requirements for fault diagnosis in large-scale chemical industries, these methods are gradually being eliminated and rarely used. This research offe...
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Aitak Shaddeli, Farhad Soleimanian Gharehchopogh, Mohammad Masdari and Vahid Solouk
The African Vulture Optimization Algorithm (AVOA) is inspired by African vultures? feeding and orienting behaviors. It comprises powerful operators while maintaining the balance of exploration and efficiency in solving optimization problems. To be used i...
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Yuanzi Zhang, Jing Wang, Xiaolin Li, Shiguo Huang and Xiuli Wang
There are generally many redundant and irrelevant features in high-dimensional datasets, which leads to the decline of classification performance and the extension of execution time. To tackle this problem, feature selection techniques are used to screen...
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Lei Fu, Tiantian Zhu, Guobing Pan, Sihan Chen, Qi Zhong and Yanding Wei
Power quality disturbances (PQDs) have a large negative impact on electric power systems with the increasing use of sensitive electrical loads. This paper presents a novel hybrid algorithm for PQD detection and classification. The proposed method is cons...
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Nan Zhang, Xueyi Gao and Tianyou Yu
Attribute reduction is a challenging problem in rough set theory, which has been applied in many research fields, including knowledge representation, machine learning, and artificial intelligence. The main objective of attribute reduction is to obtain a ...
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