Zobrazeno 1 - 10
of 44
pro vyhledávání: '"WenZhan Song"'
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 1014-1030 (2024)
Abstract Multi‐agent reinforcement learning relies on reward signals to guide the policy networks of individual agents. However, in high‐dimensional continuous spaces, the non‐stationary environment can provide outdated experiences that hinder
Externí odkaz:
https://doaj.org/article/ec14616a1f174b7f9a3ca2c13f6d04e9
Publikováno v:
mBio, Vol 15, Iss 11 (2024)
ABSTRACT The current treatments for toxoplasmosis are only active against fast-growing tachyzoites, present in acute infections, with little effect on slow-growing bradyzoites within tissue cysts, present in latent chronic infections. The mitochondri
Externí odkaz:
https://doaj.org/article/abce50c507e74e69b5de700c2bb1266a
Autor:
Jinan Zhang, Lulu Guo, Jin Ye, Annarita Giani, Ahmed Elasser, Wenzhan Song, Jianzhe Liu, Bo Chen, H. Alan Mantooth
Publikováno v:
IEEE Open Journal of Power Electronics, Vol 4, Pp 658-673 (2023)
In this article, a machine learning technique is proposed for the detection of cyber-attacks in Photovoltaic (PV) farms using point of common coupling (PCC) sensors alone. A comprehensive cyber-attack model of a PV farm is first developed to consider
Externí odkaz:
https://doaj.org/article/dd07a0a55737452681c4fe5cb680c137
Autor:
Zhuo Zhao, Rui Li, Yangmyung Ma, Iman Islam, Abdul M Azam Rajper, WenZhan Song, Hongliang Ren, Zion Tsz Ho Tse
Publikováno v:
JMIRx Med, Vol 3, Iss 2, p e30344 (2022)
BackgroundDuring COVID-19, clinical and health care demands have been on the rapid rise. Major challenges that have arisen during the pandemic have included a lack of testing kits, shortages of ventilators to treat severe cases of COVID-19, and insuf
Externí odkaz:
https://doaj.org/article/da2e99823ad742a6995470b948d6bcd2
Autor:
Zhuo Zhao, Rui Li, Yangmyung Ma, Iman Islam, Abdul M Azam Rajper, WenZhan Song, Hongliang Ren, Zion Tsz Ho Tse
Publikováno v:
JMIRx Med, Vol 3, Iss 2, p e38693 (2022)
Externí odkaz:
https://doaj.org/article/e2dc141f4d4d4376bfde30ec6deed855
Publikováno v:
Sensors, Vol 23, Iss 6, p 3235 (2023)
With the growing popularity of microgrids for alternative energy management, there is demand for tools that allow us to study the effect of microgrids in distributed power systems. Popular methods involve software simulation and prototype validation
Externí odkaz:
https://doaj.org/article/c8d80a81adde4374bb6de9e08b51bcae
Publikováno v:
IEEE Photonics Journal, Vol 9, Iss 5, Pp 1-13 (2017)
With the increasing demand for indoor positioning-based services, indoor positioning methods based on Bluetooth, Wi-Fi, ultra wide band (UWB), inertial navigation, and visual light communications (VLC) have been proposed. Considering the limitations
Externí odkaz:
https://doaj.org/article/fec9eadd98b940c183288192b38d2c5c
Publikováno v:
Sensors, Vol 21, Iss 8, p 2830 (2021)
Locating underground microseismic events is important for monitoring subsurface activity and understanding the planetary subsurface evolution. Due to bandwidth limitations, especially in applications involving planetarily-distributed sensor networks,
Externí odkaz:
https://doaj.org/article/05cc8e5eaaac4653b0ab9643e30f366f
Publikováno v:
Sensors, Vol 19, Iss 11, p 2427 (2019)
A wireless seismic network can be effectively used as a tool for subsurface monitoring and imaging. By recording and analyzing ambient noise, a seismic network can image underground infrastructures and provide velocity variation information of the su
Externí odkaz:
https://doaj.org/article/24740132575b4e2292967c9c3e15f973
Publikováno v:
Sensors, Vol 19, Iss 2, p 301 (2019)
In this article, the framework and architecture of a Subsurface Camera (SAMERA) are envisioned and described for the first time. A SAMERA is a geophysical sensor network that senses and processes geophysical sensor signals and computes a 3D subsurfac
Externí odkaz:
https://doaj.org/article/c7a6155f2ccd4c00a40fd59751b92dde