Zobrazeno 1 - 10
of 242
pro vyhledávání: '"SooHyun Park"'
Autor:
Seowon Yoon, Jihee Jang, Gaeun Son, Soohyun Park, Jueun Hwang, Joon Yeon Choeh, Kee-Hong Choi
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
IntroductionWith rapid advancements in natural language processing (NLP), predicting personality using this technology has become a significant research interest. In personality prediction, exploring appropriate questions that elicit natural language
Externí odkaz:
https://doaj.org/article/ea39602b39ec4bdf87718389ea7082d0
Publikováno v:
IEEE Access, Vol 12, Pp 108504-108514 (2024)
Multi-agent reinforcement learning (MARL) algorithms have been widely used for many applications requiring sequential decision-making to maximize the expected rewards through multi-agent cooperation. However, MARL faces significant challenges, partic
Externí odkaz:
https://doaj.org/article/1e7f711f153b4cf19071dc315e376ed9
Publikováno v:
IEEE Access, Vol 12, Pp 54732-54744 (2024)
A metaverse is composed of a physical-space and virtual-space, with the aim of having users in both the virtual reality and the real world experience. Prioritization is essential, but it is not straight-forwarded due to the limitation of computing re
Externí odkaz:
https://doaj.org/article/a83e6ccb25e1464695033411325f25ce
Publikováno v:
IEEE Access, Vol 12, Pp 58239-58247 (2024)
Recent advances in low Earth orbit (LEO) satellites have made it possible to achieve zero blind spots on Earth. Considering the give locations of these devices, this makes satellite-ground links between quantum devices a practical possibility. This p
Externí odkaz:
https://doaj.org/article/28999ad127c64bfc9118e05380fac8cf
Autor:
Hyunsoo Lee, Soohyun Park
Publikováno v:
IEEE Access, Vol 12, Pp 1727-1736 (2024)
This paper presents a novel approach for enhancing autonomous drone mobility control using deep reinforcement learning (DRL), primarily aimed at improving autonomous navigation in challenging environments. Our research tackles the significant issue o
Externí odkaz:
https://doaj.org/article/2b9ef38fa75949fba27e641fc6533624
Publikováno v:
BMC Biology, Vol 21, Iss 1, Pp 1-12 (2023)
Abstract Background Open-top light-sheet microscopy (OT-LSM) is a specialized microscopic technique for the high-throughput cellular imaging of optically cleared, large-sized specimens, such as the brain. Despite the development of various OT-LSM tec
Externí odkaz:
https://doaj.org/article/efd7fcf732b442148988e7b5b6d14196
Publikováno v:
ETRI Journal, Vol 45, Iss 5, Pp 735-745 (2023)
This paper surveys recent multiagent reinforcement learning and neural Myerson auction deep learning efforts to improve mobility control and resource management in autonomous ground and aerial vehicles. The multiagent reinforcement learning communica
Externí odkaz:
https://doaj.org/article/763c80eff2114b0aa5fb4fe6c22a15c8
Publikováno v:
ETRI Journal, Vol 45, Iss 5, Pp 811-821 (2023)
We propose an adaptive unmanned aerial vehicle (UAV)-assisted object recognition algorithm for urban surveillance scenarios. For UAV-assisted surveillance, UAVs are equipped with learning-based object recognition models and can collect surveillance i
Externí odkaz:
https://doaj.org/article/f0e222aa380b412ca2bfd939a5ede686
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6052 (2024)
Excavator–truck operations, characterized by their repetitive excavation and loading tasks, present a prime candidate for automation. While numerous studies have aimed to automate the earthworks, practical implementations remain scarce. This resear
Externí odkaz:
https://doaj.org/article/b84c792348a54893b14ef274e0c4a3be
Autor:
Yukimatsu Toh, Ling Wu, Soohyun Park, Allison Wang, Jianghua Tu, Wangsheng Yu, Mingxin Zuo, Kendra S. Carmon, Qingyun J. Liu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract LGR4 and LGR5 are two homologous receptors that potentiate Wnt/β-catenin signaling in response to R-spondin (RSPO) ligands. The RSPO and LGR4 complex binds to and inhibits activities of two related E3 ubiquitin ligases, RNF43 and ZNRF3, and
Externí odkaz:
https://doaj.org/article/bac99d20d61a474cb90d937a87d04cd9