Zobrazeno 1 - 10
of 575
pro vyhledávání: '"Heng, Yong"'
Autor:
Liu, Chen, Zang, Hongyu, Li, Xin, Heng, Yong, Wang, Yifei, Fang, Zhen, Wang, Yisen, Wang, Mingzhong
Image-based Reinforcement Learning is a practical yet challenging task. A major hurdle lies in extracting control-centric representations while disregarding irrelevant information. While approaches that follow the bisimulation principle exhibit the p
Externí odkaz:
http://arxiv.org/abs/2310.16655
Imitation Learning (IL) aims to discover a policy by minimizing the discrepancy between the agent's behavior and expert demonstrations. However, IL is susceptible to limitations imposed by noisy demonstrations from non-expert behaviors, presenting a
Externí odkaz:
http://arxiv.org/abs/2310.15815
Publikováno v:
Physics Letters B, Vol 857, Iss , Pp 138978- (2024)
Neutron resonance cross sections are essential in many nuclear science fields and applications. However, their evaluation and application are extremely complicated. Additionally, the high-frequency, super-wide spectral range of these cross sections c
Externí odkaz:
https://doaj.org/article/0ddde5eb6ef44175abb565c4d2a7520c
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-14 (2024)
Abstract Reconstructing ancient transportation networks is critical to studying past human mobility patterns. China’s Haidai region was a thriving political and economic hub during the Bronze and Early Iron Ages. We used GIS spatial analysis techni
Externí odkaz:
https://doaj.org/article/659dce8e48b74ffba684b79554d5bfd7
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
Vibration signals are essential data for the health monitoring of structures and the cyber–physical system. However, commercial vibration sensors are generally installed on struts/surfaces to gather raw data, which affects the result or causes the
Externí odkaz:
https://doaj.org/article/ae094fb878414a1eac30253a0b3b599f
Autor:
Liu, Yan, Gu, Zhen-Yi, Heng, Yong-Li, Guo, Jin-Zhi, Du, Miao, Liang, Hao-Jie, Yang, Jia-Lin, Zhang, Kai-Yang, Li, Kai, Wu, Xing-Long
Publikováno v:
In Green Energy & Environment November 2024 9(11):1724-1733
Publikováno v:
In International Journal of Biological Macromolecules October 2024 278 Part 2
Autor:
Zhang, Kai-Yang, Liu, Han-Hao, Su, Meng-Yuan, Yang, Jia-Lin, Wang, Xiao-Tong, Huixiang Ang, Edison, Gu, Zhen-Yi, Zheng, Shuo-Hang, Heng, Yong-Li, Liang, Hao-Jie, Wang, Yinglin, Li, Shuying, Wu, Xing-Long
Publikováno v:
In Journal of Colloid And Interface Science 15 June 2024 664:607-616
Autor:
Jung Tae Kim, Adwitiya Rao, Heng-Yong Nie, Yang Hu, Weihan Li, Feipeng Zhao, Sixu Deng, Xiaoge Hao, Jiamin Fu, Jing Luo, Hui Duan, Changhong Wang, Chandra Veer Singh, Xueliang Sun
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract All-solid-state lithium-sulfur batteries offer a compelling opportunity for next-generation energy storage, due to their high theoretical energy density, low cost, and improved safety. However, their widespread adoption is hindered by an ina
Externí odkaz:
https://doaj.org/article/f1629f28f75e4853b0e4c281ecb7afd5
Publikováno v:
In Applied Surface Science 30 April 2024 653