Zobrazeno 1 - 10
of 580
pro vyhledávání: '"Wang, Xinan"'
Recently, tensor algebra have witnessed significant applications across various domains. Each operator in tensor algebra features different computational workload and precision. However, current general accelerators, such as VPU, GPGPU, and CGRA, sup
Externí odkaz:
http://arxiv.org/abs/2405.02196
Autor:
Yang, Tao, Wang, Chenyang, Liu, Ying, Zhu, Xuyou, Wang, Wei, Xu, Chengdang, Wang, Xinan, Chi, Yongnan, Huang, Shengsong, Wu, Denglong
Publikováno v:
In Clinical Genitourinary Cancer October 2024 22(5)
Autor:
Chen, Yiwen, Zhang, Dalin, Jiang, Dianqiang, Deng, Jian, Zhang, Xisi, Wang, Xinan, Tian, Wenxi, Qiu, Suizheng, Su, Guanghui
Publikováno v:
In Annals of Nuclear Energy October 2024 206
Autor:
Ricciuti, Biagio, Elkrief, Arielle, Lin, Jessica, Zhang, Jianjun, Alessi, Joao V., Lamberti, Giuseppe, Gandhi, Malini, Di Federico, Alessandro, Pecci, Federica, Wang, Xinan, Makarem, Maisam, Murilo Hidalgo Filho, Cassio, Gorria, Teresa, Saini, Arushi, Pabon, Cindy, Lindsay, James, Pfaff, Kathleen L., Welsh, Emma L., Nishino, Mizuki, Sholl, Lynette M., Rodig, Scott, Kilickap, Saadettin, Rietschel, Petra, McIntyre, Debra AG., Pouliot, Jean-Francois, Altan, Mehmet, Gainor, Justin F., Heymach, John V., Schoenfeld, Adam J., Awad, Mark M.
Publikováno v:
In JTO Clinical and Research Reports September 2024 5(9)
Publikováno v:
In Journal of Colloid And Interface Science November 2024 673:496-503
Autor:
Wang, Xinan, Hou, Kangcheng, Ricciuti, Biagio, Alessi, Joao V., Li, Xihao, Pecci, Federica, Dey, Rounak, Luo, Jia, Awad, Mark M., Gusev, Alexander, Lin, Xihong, Johnson, Bruce E., Christiani, David C.
Publikováno v:
In Human Genetics and Genomics Advances 18 July 2024 5(3)
Autor:
Wang, Xinan1 (AUTHOR), Zhang, Ziwei2 (AUTHOR), Ding, Yi3 (AUTHOR), Chen, Tony4 (AUTHOR), Mucci, Lorelei5 (AUTHOR), Albanes, Demetrios6 (AUTHOR), Landi, Maria Teresa6 (AUTHOR), Caporaso, Neil E.6 (AUTHOR), Lam, Stephen7 (AUTHOR), Tardon, Adonina8 (AUTHOR), Chen, Chu9 (AUTHOR), Bojesen, Stig E.10 (AUTHOR), Johansson, Mattias11 (AUTHOR), Risch, Angela12 (AUTHOR), Bickeböller, Heike13 (AUTHOR), Wichmann, H-Erich14 (AUTHOR), Rennert, Gadi15 (AUTHOR), Arnold, Susanne16 (AUTHOR), Brennan, Paul11 (AUTHOR), McKay, James D.11 (AUTHOR)
Publikováno v:
Genome Medicine. 2/5/2024, Vol. 16 Issue 1, p1-11. 11p.
Power transfer limits or transfer capability (TC) directly relate to the system operation and control as well as electricity markets. As a consequence, their assessment has to comply with static constraints, such as line thermal limits, and dynamic c
Externí odkaz:
http://arxiv.org/abs/2008.03336
This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent deep reinforcement learning (MADRL) in unbalanced distribution systems. This method is novel since we cast the VVO problem in unbalanced distribution networks to a
Externí odkaz:
http://arxiv.org/abs/2003.03681
With the increasing complexity of modern power systems, conventional dynamic load modeling with ZIP and induction motors (ZIP + IM) is no longer adequate to address the current load characteristic transitions. In recent years, the WECC composite load
Externí odkaz:
http://arxiv.org/abs/1911.04894