Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Minhoe Kim"'
Publikováno v:
Neurobiology of Disease, Vol 198, Iss , Pp 106548- (2024)
Background: The association between common neuroradiological markers of multiple sclerosis (MS) and clinical disability is weak. Given that the disability in patients with MS may depend on the underlying structural connectivity of the brain, our stud
Externí odkaz:
https://doaj.org/article/3a6442e23c224b8caa27ee69bbd1199f
Joint power and subchannel allocation regarding energy harvesting in MC-NOMA based wireless networks
Publikováno v:
ICT Express, Vol 9, Iss 5, Pp 789-794 (2023)
We propose resource allocation schemes for a multi-carrier non-orthogonal multiple access (MC-NOMA) system with the consideration of energy harvesting. The resource allocation schemes includes an optimization scheme for maximizing the total system ca
Externí odkaz:
https://doaj.org/article/5bdb947a7aa5447889fefc3443ac81e2
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
ObjectiveIt is well known that altered functional connectivity is a robust neuroimaging marker of schizophrenia. However, there is inconsistency in the direction of alterations, i.e., increased or decreased connectivity. In this study, we aimed to de
Externí odkaz:
https://doaj.org/article/1b5ee72431ea40ec8c7e804dd1c3889c
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
ObjectiveHeadache is among the most frequent symptoms after coronavirus disease 2019 (COVID-19), so-called long COVID syndrome. Although distinct brain changes have been reported in patients with long COVID, such reported brain changes have not been
Externí odkaz:
https://doaj.org/article/e437660fc70d4765a576d1f9d941777d
Autor:
Minhoe Kim, Woongsup Lee
Publikováno v:
Sensors, Vol 23, Iss 8, p 3848 (2023)
We propose a deep spread multiplexing (DSM) scheme using a DNN-based encoder and decoder and we investigate training procedures for a DNN-based encoder and decoder system. Multiplexing for multiple orthogonal resources is designed with an autoencoder
Externí odkaz:
https://doaj.org/article/3097e4a6c43140c0af002b0e222b594b
Autor:
Minhoe Kim, Daehee Park
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 18:983-985
Publikováno v:
IEEE Systems Journal. 13:2551-2554
In this paper, a means of transmit power control for underlaid device-to-device (D2D) communication is proposed based on deep learning technology. In the proposed scheme, the transmit power of D2D user equipment (DUE) is autonomously learned via a de
Publikováno v:
IEEE Communications Magazine. 57:57-63
Deep learning continues to offer groundbreaking technologies in communications systems just as it has in a variety of other fields. Despite the notable advancements of technologies based on DNN-based technologies in recent years, their high computati
Publikováno v:
IEEE Transactions on Vehicular Technology. 68:3005-3009
In this paper, we investigate cooperative spectrum sensing (CSS) in a cognitive radio network (CRN) where multiple secondary users (SUs) cooperate in order to detect a primary user, which possibly occupies multiple bands simultaneously. Deep cooperat
Publikováno v:
IEEE Wireless Communications Letters. 8:141-144
A transmit power control strategy using a deep neural network (DNN) is proposed for underlay device-to-device (D2D) communication where D2D user equipment (DUE) shares radio resources with cellular user equipment (CUE). In this scheme, a transmit pow