Výsledky vyhledávání - "ZHAO, Dandan"

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SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning

Autor: Zhao, Dandan, Sharma, Karthick, Yin, Hongpeng, Qi, Yuxin, Zhang, Shuhao

Fault diagnosis (FD) is essential for maintaining operational safety and minimizing economic losses by detecting system abnormalities. Recently, deep learning (DL)-driven FD methods have gained prominence, offering significant improvements in precisi

Externí odkaz: http://arxiv.org/abs/2408.05681

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CVGG-Net: Ship Recognition for SAR Images Based on Complex-Valued Convolutional Neural Network

Autor: Zhao, Dandan, Zhang, Zhe, Lu, Dongdong, Kang, Jian, Qiu, Xiaolan, Wu, Yirong

Ship target recognition is a vital task in synthetic aperture radar (SAR) imaging applications. Although convolutional neural networks have been successfully employed for SAR image target recognition, surpassing traditional algorithms, most existing

Externí odkaz: http://arxiv.org/abs/2305.07918

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Akademický článek

Effects of shading on the photosynthetic characteristics and leaf structure of Ranunculus ternatus Thunb.

Autor: WANG Li, ZHAO Dandan, ZHANG Gexiang

Publikováno v: Xibei zhiwu xuebao, Vol 44, Iss 7, Pp 1055-1063 (2024)

Abstract [Objective] The study aims to investigate the effects of different shading levels on the photosynthetic characteristics and leaf anatomical structure of wild plant Ranunculus ternatus Thunb. and provide a theoretical basis for the in-depth

Externí odkaz: https://doaj.org/article/65da03d6dc394304a82db8d23e431c30

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Message passing approach to analyze the robustness of hypergraph

Autor: Peng, Hao, Qian, Cheng, Zhao, Dandan, Zhong, Ming, Han, Jianmin, Li, Runchao, Wang, Wei

Hypergraph networks are closer to real life because they can reflect higher-order interactions, so researchers have begun using them to build models for real-world networks. The mean-field approach is the current tool for studying the percolation pro

Externí odkaz: http://arxiv.org/abs/2302.14594

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