Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Qiming Yan"'
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 1, Pp 1-11 (2024)
Abstract We investigate the effect of the dark matter (DM) halos collisions, namely collisions of galaxies and galaxy clusters, through gravitational bremsstrahlung, on the stochastic gravitational wave background. We first calculate the gravitationa
Externí odkaz:
https://doaj.org/article/31373fabb0544d159622aee3ed1fb0c7
Autor:
Yinian Zhu, Huiling Xuan, Yanpeng Liang, Qiming Yan, Zongqiang Zhu, Zhangnan Jiang, Lihao Zhang, Huili Liu, Shen Tang
Publikováno v:
Journal of Chemistry, Vol 2019 (2019)
Arsenic is very harmful to most living organisms. The solubility data of As-containing compounds are significant in geoscience and environmental science. The arsenic-incorporated natroalunite precipitation has been proposed to eliminate arsenic from
Externí odkaz:
https://doaj.org/article/932519fafc604becbc8d233d9981430e
Autor:
LEI SHI, QIMING YAN
Publikováno v:
Annales Polonici Mathematici; 2024, Vol. 133 Issue 1, p255-279, 25p
Publikováno v:
Multimedia Systems. 29:389-399
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fce9827ed9a84dac7fd94ab1e69c58c4
https://doi.org/10.1007/s00530-022-00935-5
https://doi.org/10.1007/s00530-022-00935-5
Publikováno v:
Environmental Engineering Science. 38:1195-1205
An accurate assessment of flood control capacity of a reservoir is a prerequisite for ensuring the safety of flood control works. This study used the method of adding side reservoirs and used MIKE1...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::268a672e4f60c11e112f0acd57e4fd36
https://doi.org/10.1089/ees.2021.0003
https://doi.org/10.1089/ees.2021.0003
Publikováno v:
Polymers for Advanced Technologies. 32:4415-4423
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecab12383e5bb10c9db0d94305595268
https://doi.org/10.1002/pat.5443
https://doi.org/10.1002/pat.5443
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6867-6883 (2024)
Abstract The sample data for reinforcement learning algorithms often exhibit sparsity and instability, making the training results susceptible to falling into local optima. Mini-Max-Multi-agent Deep Deterministic Policy Gradient (M3DDPG) algorithm is
Externí odkaz:
https://doaj.org/article/5de2431771084f9a87a2a66d814c3701
Publikováno v:
Polymers for Advanced Technologies. 32:2252-2261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a6be76e7e04ac3b11a58f8fac9b9aa6
https://doi.org/10.1002/pat.5259
https://doi.org/10.1002/pat.5259
Autor:
Jiaoyiling Zhu, Weihao Hu, Xiao Xu, Shihua Luo, Haoming Liu, Chenbin Hu, Wei Zhan, Qiming Yan, Qi Huang
Publikováno v:
2022 4th Asia Energy and Electrical Engineering Symposium (AEEES).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2c8219cb6226a2eaf4f247e225d2c3a
https://doi.org/10.1109/aeees54426.2022.9759567
https://doi.org/10.1109/aeees54426.2022.9759567
Publikováno v:
Carbon. 169:235-247
The combination of microwave absorption performance and self-healing function is of great practical significance. In this paper, first, ZnO@MWCNTs nanoparticle is prepared by loading Zinc oxide (ZnO) on the surface of the multiwalled carbon nanotubes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47f2d1255ef97a28eeedad8f52d5eaa5
https://doi.org/10.1016/j.carbon.2020.07.003
https://doi.org/10.1016/j.carbon.2020.07.003