Výsledky vyhledávání - "Gao, Zhenguo"

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Directional WPT Charging for Routing-Asymmetric WRSNs with a Mobile Charger

Autor: Gao, Zhenguo, Zhang, Qi, Gao, Qingyu, Zhao, Yunlong, Wu, Hsiao-Chun

Mobile Charge Scheduling for wirelessly charging nodes in Wireless Rechargeable Sensor Networks (WRSNs) is a promising but still evolving research area. Existing research mostly assumes a symmetric environment, where the routing costs in opposite dir

Externí odkaz: http://arxiv.org/abs/2409.07994

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Few-Shot Medical Image Segmentation with Large Kernel Attention

Autor: Wu, Xiaoxiao, Chen, Xiaowei, Gao, Zhenguo, Qu, Shulei, Qiu, Yuanyuan

Medical image segmentation has witnessed significant advancements with the emergence of deep learning. However, the reliance of most neural network models on a substantial amount of annotated data remains a challenge for medical image segmentation. T

Externí odkaz: http://arxiv.org/abs/2407.19148

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Multi-Task Learning for Fatigue Detection and Face Recognition of Drivers via Tree-Style Space-Channel Attention Fusion Network

Autor: Qu, Shulei, Gao, Zhenguo, Chen, Xiaowei, Li, Na, Wang, Yakai, Wu, Xiaoxiao

In driving scenarios, automobile active safety systems are increasingly incorporating deep learning technology. These systems typically need to handle multiple tasks simultaneously, such as detecting fatigue driving and recognizing the driver's ident

Externí odkaz: http://arxiv.org/abs/2405.07845

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Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation

Autor: Wu, Xiaoxiao, Gao, Zhenguo, Chen, Xiaowei, Wang, Yakai, Qu, Shulei, Li, Na

In recent years, deep learning based on Convolutional Neural Networks (CNNs) has achieved remarkable success in many applications. However, their heavy reliance on extensive labeled data and limited generalization ability to unseen classes pose chall

Externí odkaz: http://arxiv.org/abs/2405.07516

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Report

Multi-Attention Fusion Drowsy Driving Detection Model

Autor: QU, Shulei, Gao, Zhenguo, Wu, Xiaoxiao, Qiu, Yuanyuan

Drowsy driving represents a major contributor to traffic accidents, and the implementation of driver drowsy driving detection systems has been proven to significantly reduce the occurrence of such accidents. Despite the development of numerous drowsy

Externí odkaz: http://arxiv.org/abs/2312.17052

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Dissertation/ Thesis

Variance Change Point Detection under A Smoothly-changing Mean Trend with Application to Liver Procurement

Autor: Gao, Zhenguo

Literature on change point analysis mostly requires a sudden change in the data distribution, either in a few parameters or the distribution as a whole. We are interested in the scenario that the variance of data may make a significant jump while the

Externí odkaz: http://hdl.handle.net/10919/82351

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