Zobrazeno 1 - 10
of 173
pro vyhledávání: '"HyunHee Park"'
Publikováno v:
Electronics Letters, Vol 60, Iss 20, Pp n/a-n/a (2024)
Abstract This letter introduces an innovative approach for minimizing energy consumption in multi‐unmanned aerial vehicles (multi‐UAV) networks using deep reinforcement learning, with a focus on optimizing the age of information (AoI) in disaster
Externí odkaz:
https://doaj.org/article/baa6ac09f9e041d492e045f613a3e2a7
Autor:
Jiha Kim, Hyunhee Park
Publikováno v:
ICT Express, Vol 9, Iss 2, Pp 241-246 (2023)
Data-driven learning is the most representative deep learning method. Generative adversarial networks (GANs) are designed to generate sufficient data to support such learning. The learning process of GAN models typically trains a generator and discri
Externí odkaz:
https://doaj.org/article/1d9d16c70ec6457b973e89dddc2ba6d9
Publikováno v:
IEEE Access, Vol 11, Pp 36097-36105 (2023)
Federated learning is a distributed machine learning framework that enables a large number of devices to cooperatively train a model without data sharing. However, because federated learning trains a model using non-independent and identically distri
Externí odkaz:
https://doaj.org/article/6e2c444fe0024ab6af3ecdd3380bdd36
Publikováno v:
Molecular Brain, Vol 13, Iss 1, Pp 1-4 (2020)
Abstract Alzheimer’s disease (AD) is a highly prevalent neurodegenerative disease characterized by Aβ accumulation and tau hyperphosphorylation. Epidemiological evidence for a negative correlation between cancer and AD has led to the proposed use
Externí odkaz:
https://doaj.org/article/6316625f6cac48cea72368ed7b9fa49f
Autor:
Hyunhee Park
Publikováno v:
IEEE Access, Vol 8, Pp 127581-127592 (2020)
The in-depth discussion on the development of green technology at the 25th Wireless World Research Forum (WWRF) Conference in November 2010 indicated the growing interest in energy conservation technology that needs to be applied in next generation m
Externí odkaz:
https://doaj.org/article/2af4075f33c94bc993474ea41695ea5d
Publikováno v:
Sensors, Vol 22, Iss 24, p 9776 (2022)
Federated learning is a type of distributed machine learning in which models learn by using large-scale decentralized data between servers and devices. In a short-range wireless communication environment, it can be difficult to apply federated learni
Externí odkaz:
https://doaj.org/article/0c7a2aa02e7c4ed29299a6d8b3f7fe56
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 21, p 13606 (2022)
Ca2+ signaling is implicated in the transition between microglial surveillance and activation. Several L-type Ca2+ channel blockers (CCBs) have been shown to ameliorate neuroinflammation by modulating microglial activity. In this study, we examined t
Externí odkaz:
https://doaj.org/article/7b9bbdf1e0e84ce788034d1543b29ef3
Autor:
Ka-Young Ryu, Hyun-ju Lee, Hanwoong Woo, Ri-Jin Kang, Kyung-Min Han, HyunHee Park, Sang Min Lee, Ju-Young Lee, Yoo Joo Jeong, Hyun-Wook Nam, Youngpyo Nam, Hyang-Sook Hoe
Publikováno v:
Journal of Neuroinflammation, Vol 16, Iss 1, Pp 1-36 (2019)
Abstract Background The FDA-approved small-molecule drug dasatinib is currently used as a treatment for chronic myeloid leukemia (CML). However, the effects of dasatinib on microglial and/or astrocytic neuroinflammatory responses and its mechanism of
Externí odkaz:
https://doaj.org/article/67b015539a3c48b8ab02fdf49f370541
Publikováno v:
Annals of Occupational and Environmental Medicine, Vol 31, Iss 1, Pp 1-9 (2019)
Abstract Background The objective of this study is to evaluate the risk of exposure to second hand smoke (SHS) during working hours by job status and occupation. Methods Using the 4th Korean Working Conditions Survey (KWCS), 49,674 respondents who an
Externí odkaz:
https://doaj.org/article/38d086ded9134ac28c96eb0dfdd8ef53
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0239010 (2020)
Enclosed underground excavation worksite has an environment with poor ventilation and exposure to hazardous substances from diesel engine exhaust and construction materials. The objective of this study was to evaluate the exposure level of elemental
Externí odkaz:
https://doaj.org/article/13db8b7ede934ee785648802f53f45d9