PageRank talent mining algorithm of power system based on cognitive load and DPCNN

Abstract PageRank talent mining in power system is an effective means for enterprises to recruit talents, which can correctly recommend talents in practical applications. At present, the mining evaluation index system is not perfect, and the consistency coefficient between the evaluation results and...

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Bibliographic Details
Published in:	IET Communications
Main Authors:	Kan Feng, Changliang Yang, Wenqiang Zhu, Kun Li, Ya Chen
Format:	Article
Language:	English
Published:	Wiley 2024-01-01
Subjects:	cognitive load degree of membership DPCNN PageRank talent mining algorithm power system
Online Access:	https://doi.org/10.1049/cmu2.12721

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