Zobrazeno 1 - 10
of 17 824
pro vyhledávání: '"Lee JU"'
Publikováno v:
Journal of Veterinary Research, Vol 65, Iss 3, Pp 307-313 (2021)
Because minipig skin is similar to human skin in anatomy and physiology, establishing an atopic dermatitis (AD) minipig model seems meaningful.
Externí odkaz:
https://doaj.org/article/9f2011b21fd7435cb4d971795d2c4abf
Publikováno v:
Nanophotonics, Vol 10, Iss 6, Pp 1741-1751 (2021)
Metallic 2D materials can be promising saturable absorbers for ultrashort pulsed laser production in the long wavelength regime. However, preparing and manipulating their 2D structures without layer stacking have been nontrivial. Using a combined exp
Externí odkaz:
https://doaj.org/article/75ce2291a41e4f6e930ef17c5d9ae31d
In computational pathology, cancer grading has been mainly studied as a categorical classification problem, which does not utilize the ordering nature of cancer grades such as the higher the grade is, the worse the cancer is. To incorporate the order
Externí odkaz:
http://arxiv.org/abs/2407.08503
The burgeoning field of on-device AI communication, where devices exchange information directly through embedded foundation models, such as language models (LMs), requires robust, efficient, and generalizable communication frameworks. However, integr
Externí odkaz:
http://arxiv.org/abs/2402.11656
In this article, we propose a multi-agent deep reinforcement learning (MADRL) framework to train a multiple access protocol for downlink low earth orbit (LEO) satellite networks. By improving the existing learned protocol, emergent random access chan
Externí odkaz:
http://arxiv.org/abs/2402.02350
Traditional risk-adjusted returns, such as the Treynor, Sharpe, Sortino, and Information ratios, have been pivotal in portfolio asset allocation, focusing on minimizing risk while maximizing profit. Nevertheless, these metrics often fail to account f
Externí odkaz:
http://arxiv.org/abs/2312.13719
Autor:
Lee, Ju-Hyung, Molisch, Andreas F.
Large-scale channel prediction, i.e., estimation of the pathloss from geographical/morphological/building maps, is an essential component of wireless network planning. Ray tracing (RT)-based methods have been widely used for many years, but they requ
Externí odkaz:
http://arxiv.org/abs/2312.03950
This study presents a novel deep reinforcement learning (DRL)-based handover (HO) protocol, called DHO, specifically designed to address the persistent challenge of long propagation delays in low-Earth orbit (LEO) satellite networks' HO procedures. D
Externí odkaz:
http://arxiv.org/abs/2310.20215