Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Zhou, Weitao"'
Self-driving vehicles (SDVs) are becoming reality but still suffer from "long-tail" challenges during natural driving: the SDVs will continually encounter rare, safety-critical cases that may not be included in the dataset they were trained. Some saf
Externí odkaz:
http://arxiv.org/abs/2305.07497
Deep reinforcement learning (DRL) has emerged as a promising approach for developing more intelligent autonomous vehicles (AVs). A typical DRL application on AVs is to train a neural network-based driving policy. However, the black-box nature of neur
Externí odkaz:
http://arxiv.org/abs/2305.07487
The transition of plane Couette flow is numerically investigated in a large computational domain. It is found that the averaged period of the transient growth reduces slowly with the decrease of the Reynolds number (Re) except when Re is close to a t
Externí odkaz:
http://arxiv.org/abs/2304.12409
A typical trajectory planner of autonomous driving commonly relies on predicting the future behavior of surrounding obstacles. Recently, deep learning technology has been widely adopted to design prediction models due to their impressive performance.
Externí odkaz:
http://arxiv.org/abs/2207.00788
Multi‐factor analysis of the quality of cellar mud of Luzhou‐flavor liquor in Yibin production area.
Autor:
Han, Baolin1 (AUTHOR) han_bl1986@163.com, Zhou, Weitao1 (AUTHOR), Chen, Rangfang1 (AUTHOR), Tian, Shulin1 (AUTHOR), Gong, Hucheng1 (AUTHOR), Wang, Yu1 (AUTHOR), Xu, Qiang1 (AUTHOR), Bian, Minghong1 (AUTHOR)
Publikováno v:
Food Science & Nutrition. Jul2024, Vol. 12 Issue 7, p5231-5249. 19p.
Autor:
Du, Shan, Tan, Yuhao, Chen, Jikai, Wei, Yunhang, Qu, Zeng, Li, Jingliang, Zhang, Jun, Zhou, Weitao
Publikováno v:
In Composites Communications December 2024 52
Autor:
Zhou, Weitao, Ji, Shengxin, Fang, Junling, Li, Yi, Fan, Huiping, Li, Zhen, Wang, Xiaojie, Suo, Biao
Publikováno v:
In Food Bioscience June 2024 59
Autor:
DONG Zijie, HUANG Yangyang, ZHOU Weitao, HUANG Zhongmin, AI Zhilu, ZHENG Qi, WANG Xiaojie, SUO Biao
Publikováno v:
Shipin Kexue, Vol 44, Iss 22, Pp 133-138 (2023)
The aim of this study was to develop primary and secondary models to describe the growth kinetics of Staphylococcus aureus in glutinous rice dough in order to provide a basis for monitoring the growth of S. aureus in raw materials for glutinous rice
Externí odkaz:
https://doaj.org/article/0da35cdd45254fb18db3dd38102d0e97
Publikováno v:
In Journal of Materials Research and Technology May-June 2024 30:5249-5257
Autor:
Zhou, Weitao, Wu, Ting, Li, Yong, Wei, Yunhang, Han, Lu, Li, Yiming, Li, Junli, Yan, Mengmeng, Wang, Ming, Li, Jingliang, Du, Shan
Publikováno v:
In Separation and Purification Technology 14 April 2024 334