Zobrazeno 1 - 10
of 357
pro vyhledávání: '"MA Jinming"'
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 5, Pp 203-211 (2024)
BaTiO3-xBi(Ni0.5Zr0.5)O3 powders were synthesized by traditional solid-state reaction method, and then BaTiO3-xBi(Ni0.5Zr0.5)O3 ceramics were prepared by spark plasma sintering. The crystal structure, micro-morphology, dielectric and impedance proper
Externí odkaz:
https://doaj.org/article/ec333d4fd31048928ffa8326b5bf0a43
Publikováno v:
Cailiao gongcheng, Vol 50, Iss 11, Pp 173-181 (2022)
The work aims to explore the anisotropic etching of synthetic diamond single crystal by rare earth oxide. Under the protection of nitrogen, synthetic diamond single crystals were etched by Pr6O11 powder at 750-950℃. The surface morphology, phase co
Externí odkaz:
https://doaj.org/article/525101963ef9438883fe62a4eefa4476
Autor:
Ji Jing, Yu Haiyi, Liao Lei, Li Jiaojiao, Qin Kunming, Shen Jinyang, Guo Bo, Shao Xiaofu, Ma Jinming, Dong Jingquan, Gao Song
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 271-274 (2021)
Externí odkaz:
https://doaj.org/article/8dcb1e5ee7c34f8e8720d929a71ed170
Active voltage control presents a promising avenue for relieving power congestion and enhancing voltage quality, taking advantage of the distributed controllable generators in the power network, such as roof-top photovoltaics. While Multi-Agent Reinf
Externí odkaz:
http://arxiv.org/abs/2405.08443
Offline reinforcement learning (RL) provides a promising approach to avoid costly online interaction with the real environment. However, the performance of offline RL highly depends on the quality of the datasets, which may cause extrapolation error
Externí odkaz:
http://arxiv.org/abs/2405.04307
Autor:
Wang, Wanyuan, Qiao, Tianchi, Ma, Jinming, Jin, Jiahui, Li, Zhibin, Wu, Weiwei, Jian, Yichuan
Efficient traffic signal control (TSC) has been one of the most useful ways for reducing urban road congestion. Key to the challenge of TSC includes 1) the essential of real-time signal decision, 2) the complexity in traffic dynamics, and 3) the netw
Externí odkaz:
http://arxiv.org/abs/2306.08843
Many real-world applications require an agent to make robust and deliberate decisions with multimodal information (e.g., robots with multi-sensory inputs). However, it is very challenging to train the agent via reinforcement learning (RL) due to the
Externí odkaz:
http://arxiv.org/abs/2302.09318
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control
Autor:
Ma, Jinming, Wu, Feng
Multi-agent reinforcement learning (MARL) has been applied and shown great potential in multi-intersections traffic signal control, where multiple agents, one for each intersection, must cooperate together to optimize traffic flow. To encourage globa
Externí odkaz:
http://arxiv.org/abs/2205.13836
Autor:
Jiang, Wen, Wang, Yudong, Yang, Qiuxiang, Tao, Yang, Peng, Lin, Zhang, Ce, Cheng, Shounian, Liang, Jiandan, Ma, Jinming, Cao, Xia
Publikováno v:
In Chemical Engineering Journal 15 October 2024 498
Autor:
Yuan, Hao, Zhang, Qiran, Cheng, Yunqi, Xu, Rongyu, Li, Haoran, Tian, Mengyao, Ma, Jinming, Jiao, Tifeng
Publikováno v:
In Journal of Colloid And Interface Science 15 September 2024 670:41-49