Výsledky vyhledávání - "ZHANG Yunqiang"

Akademický článek

Expression and Clinical Significance of m6A Methylatransferase ZC3H13 in Gastric Cancer Tissues and Serum

Autor: JIA Lijuan, ZHANG Yunqiang, ZHANG Baihong, YUE Hongyun

Publikováno v: Zhongliu Fangzhi Yanjiu, Vol 49, Iss 8, Pp 792-798 (2022)

Objective To investigate the expression of m6A methylatransferase ZC3H13 in tissues and peripheral blood of patients with gastric cancer and its application value in gastric cancer. Methods UALCAN and GEPIA databases were used to analyze the expressi

Externí odkaz: https://doaj.org/article/b79424a03821401f98a9a3e25f24954e

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Akademický článek

A BEARING DEEP LEARNING TRANSFER DIAGNOSIS METHOD BASED ON OPTIMIZATION OF SYMMETRIC POLAR COORDINATES

Autor: WU DingHai, WANG HuaiGuang, SONG Bin, ZHANG YunQiang

Publikováno v: Jixie qiangdu, Vol 44, Pp 541-546 (2022)

Aiming at the problem of graphical feature representation of one-dimensional mechanical vibration signals, a bearing fault diagnosis method based on symmetric polar coordinates and residual network migration learning is proposed, which combines the p

Externí odkaz: https://doaj.org/article/515a71ed9fd94b14939184fa8359f49f

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Akademický článek

THE REVIEW OF MECHANICAL FAULT DIAGNOSIS METHODS BASED ON CONVOLUTIONAL NEURAL NETWORK

Autor: WU DingHai, REN GuoQuan, WANG HuaiGuang, ZHANG YunQiang

Publikováno v: Jixie qiangdu, Vol 42, Pp 1024-1032 (2020)

Deep learning is good at abstract features from massive data and has good generalization ability,which has attracted more and more researchers’ attention. The Convolutional Neural Network（ CNN） is a classic structure of deep learing and which i

Externí odkaz: https://doaj.org/article/20c71ef3546c4eb9a3f7da8f9ae61c64

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