Zobrazeno 1 - 10
of 2 956
pro vyhledávání: '"Zhang Wenyu"'
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 51-7 (2023)
This study aims to analyze the effect of cardiac rehabilitation therapy on cardiac autonomic nervous function in patients with cardiac insufficiency complicated with anxiety depression after cardiac operation to provide a reference for clinical pract
Externí odkaz:
https://doaj.org/article/44925a20127f47b8b3402aa5984a7081
Autor:
Song Han, Li Na, Zhang Rongchao, Hu Xiuqin, Zhang Wenyu, Zhang Bo, Li Xinpeng, Wang Zhen, Xin Jie
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract To explore the signal transmission mechanism of the arbuscular mycorrhizal network against root rot of Salvia miltiorrhiza. In this experiment, the arbuscular mycorrhizal hyphal network was established among Salvia miltiorrhiza plants, and a
Externí odkaz:
https://doaj.org/article/fc57ff899e344624a1b33d6fc8835f60
Autor:
Wang, Wei, Song, Ruobing, Wu, Yunxiao, Zheng, Li, Zhang, Wenyu, Chen, Zhaoxi, Li, Gang, Xu, Zhifei
Study Objectives: To evaluate the agreement between the millimeter-wave radar-based device and polysomnography (PSG) in diagnosis of obstructive sleep apnea (OSA) and classification of sleep stage in children. Methods: 281 children, aged 1 to 18 year
Externí odkaz:
http://arxiv.org/abs/2409.19276
Autor:
Wang, Wei, Li, Chenyang, Chen, Zhaoxi, Zhang, Wenyu, Wang, Zetao, Guo, Xi, Guan, Jian, Li, Gang
Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a sleep-related breathing disorder associated with significant morbidity and mortality worldwide. The gold standard for OSAHS diagnosis, polysomnography (PSG), faces challenges in popularization du
Externí odkaz:
http://arxiv.org/abs/2409.19217
Autor:
Zhang, Wenyu, Sun, Shuo, Wang, Bin, Zou, Xunlong, Liu, Zhuohan, He, Yingxu, Lin, Geyu, Chen, Nancy F., Aw, Ai Ti
The rapid advancements in large language models (LLMs) have significantly enhanced natural language processing capabilities, facilitating the development of AudioLLMs that process and understand speech and audio inputs alongside text. Existing AudioL
Externí odkaz:
http://arxiv.org/abs/2409.06635
Localization using time-difference of arrival (TDOA) has myriad applications, e.g., in passive surveillance systems and marine mammal research. In this paper, we present a Bayesian estimation method that can localize an unknown number of static sourc
Externí odkaz:
http://arxiv.org/abs/2408.17096
Autor:
Nguyen, Khoi Nguyen Tiet, Zhang, Wenyu, Lu, Kangkang, Wu, Yuhuan, Zheng, Xingjian, Tan, Hui Li, Zhen, Liangli
Deep learning models excel in various computer vision tasks but are susceptible to adversarial examples-subtle perturbations in input data that lead to incorrect predictions. This vulnerability poses significant risks in safety-critical applications
Externí odkaz:
http://arxiv.org/abs/2408.01934
Autor:
Fu, Fangfa, Zhang, Wenyu, Jiang, Zesong, Zhu, Zhiyu, Li, Guoyu, Yang, Bing, Liu, Cheng, Xiao, Liyi, Wang, Jinxiang, Li, Huawei, Li, Xiaowei
Deep learning and signal processing are closely correlated in many IoT scenarios such as anomaly detection to empower intelligence of things. Many IoT processors utilize digital signal processors (DSPs) for signal processing and build deep learning f
Externí odkaz:
http://arxiv.org/abs/2407.12565
Autor:
You, Guoliang, Chu, Xiaomeng, Duan, Yifan, Zhang, Wenyu, Li, Xingchen, Zhang, Sha, Li, Yao, Ji, Jianmin, Zhang, Yanyong
When planning for autonomous driving, it is crucial to consider essential traffic elements such as lanes, intersections, traffic regulations, and dynamic agents. However, they are often overlooked by the traditional end-to-end planning methods, likel
Externí odkaz:
http://arxiv.org/abs/2407.11644
Autor:
Wang, Bin, Zou, Xunlong, Lin, Geyu, Sun, Shuo, Liu, Zhuohan, Zhang, Wenyu, Liu, Zhengyuan, Aw, AiTi, Chen, Nancy F.
We introduce AudioBench, a universal benchmark designed to evaluate Audio Large Language Models (AudioLLMs). It encompasses 8 distinct tasks and 26 datasets, among which, 7 are newly proposed datasets. The evaluation targets three main aspects: speec
Externí odkaz:
http://arxiv.org/abs/2406.16020