Zobrazeno 1 - 10
of 1 028
pro vyhledávání: '"Yang Xiaopeng"'
Autor:
LIU Lingling, ZHANG Ying, LIU Yunfei, LI Junzheng, CHANG Jianbo, WEI Fengjie, YANG Xiaopeng, JI Xiaoming, LI Hongchen, YANG Jianxin
Publikováno v:
Guan'gai paishui xuebao, Vol 42, Iss 10, Pp 15-22 (2023)
【Objective】 To explore the effects of new composite hydrogel on the physiological characteristics of tobacco seedlings under drought stress, and to provide theoretical basis for alleviating the toxicity of drought stress to tobacco. 【Method】
Externí odkaz:
https://doaj.org/article/43b48d12575c4480a7004c208db8f039
Autor:
Yang Xiaopeng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Along with globalization and technological advances, the complexity and dynamics of international supply chains are increasing. Using CiteSpace to visualize and analyze the knowledge map of the global supply chain helps to deeply understand the indus
Externí odkaz:
https://doaj.org/article/4343b6bcbf39485eb1e2c6f5511864d9
Through-the-Wall radar (TWR) human activity recognition (HAR) is a technology that uses low-frequency ultra-wideband (UWB) signal to detect and analyze indoor human motion. However, the high dependence of existing end-to-end recognition models on the
Externí odkaz:
http://arxiv.org/abs/2410.07543
Through-the-wall radar (TWR) human activity recognition can be achieved by fusing micro-Doppler signature extraction and intelligent decision-making algorithms. However, limited by the insufficient priori of tester in practical indoor scenarios, the
Externí odkaz:
http://arxiv.org/abs/2410.07542
With the help of micro-Doppler signature, ultra-wideband (UWB) through-the-wall radar (TWR) enables the reconstruction of range and velocity information of limb nodes to accurately identify indoor human activities. However, existing methods are usual
Externí odkaz:
http://arxiv.org/abs/2408.12077
Combining unmanned aerial vehicle (UAV) with through-the-wall radar can realize moving targets detection in complex building scenes. However, clutters generated by obstacles and static objects are always stronger and non-stationary, which results in
Externí odkaz:
http://arxiv.org/abs/2407.04746
Radon concentration anomaly characteristics in the North–South seismic belt before strong earthquake
Publikováno v:
E3S Web of Conferences, Vol 261, p 04029 (2021)
Seismic underground fluids play an important role in earthquake prediction studies and tracking. Nearly 30 years of radon concentration monitoring data at 42 observation sites in the North–South seismic belt (22°-35° N, 100°-110° E) were collec
Externí odkaz:
https://doaj.org/article/4bbb2bfa24614908a4eb65d4cc005572
Publikováno v:
in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022, Art no. 5118617
To solve the problems of reduced accuracy and prolonging convergence time of through-the-wall radar (TWR) human motion due to wall attenuation, multipath effect, and system interference, we propose a multilink auto-encoding neural network (TWR-MCAE)
Externí odkaz:
http://arxiv.org/abs/2301.02488
Autor:
Li Jinfeng, Wang Yunliang, Liu Xinshan, Wang Shanshan, Xu Chunyang, Xue Peng, Yang Xiaopeng, Xu Zhixiu, Yin Honglei, Cao Xia, Duan Haifeng, Cao Bingzhen
Publikováno v:
Stem Cells International, Vol 2016 (2016)
Cell therapy is a potential therapeutic approach for Parkinson’s disease (PD). Mesenchymal stem cells derived from the human umbilical cord (hUC-MSCs) give priority to PD patients because of multiple advantages. The appropriate gene transduction of
Externí odkaz:
https://doaj.org/article/46f4710e00c14b4c8d05fb76b523e6d7
Autor:
Yang, Xiaopeng, Zhou, Songli, Zeng, Jingyi, Zhang, Suqin, Li, Meng, Yue, Feifan, Chen, Zhaoyi, Dong, Yanming, Zeng, Yingchun, Luo, Jingwen
Publikováno v:
In Acta Biomaterialia December 2024 190:531-547