Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Hyun-Kyo Lim"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 393-403 (2024)
Background and objective: Medical image visualization is a requirement in many types of surgery such as orthopaedic, spinal, thoracic procedures or tumour resection to eliminate risk such as “wrong level surgery”. However, direct contact with phy
Externí odkaz:
https://doaj.org/article/6c42a734f88b49f99c9cb5381720c437
Publikováno v:
ICT Express, Vol 9, Iss 5, Pp 983-994 (2023)
Virtual network embedding plays a vital role in network virtualization, as it determines the deployment and connection of virtual networks to the physical network in the 5G and beyond. An efficient virtual network embedding algorithm is essential to
Externí odkaz:
https://doaj.org/article/65b6bdde53b94278926f62e78052e94b
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-15 (2023)
Abstract Edge-cloud computing is an emerging approach in which tasks are offloaded from mobile devices to edge or cloud servers. However, Task offloading may result in increased energy consumption and delays, and the decision to offload the task is d
Externí odkaz:
https://doaj.org/article/9af938af8ed645f5bed7ab4260d70b9f
Autor:
Yoon-Ji Kim, Jang-Hoon Ahn, Hyun-Kyo Lim, Thong Phi Nguyen, Nayansi Jha, Ami Kim, Jonghun Yoon
Publikováno v:
Bioengineering, Vol 10, Iss 11, p 1326 (2023)
In contemporary practice, intraoral scans and cone-beam computed tomography (CBCT) are widely adopted techniques for tooth localization and the acquisition of comprehensive three-dimensional models. Despite their utility, each dataset presents inhere
Externí odkaz:
https://doaj.org/article/0884a50a13ab43f1bae8016b80f159e9
Publikováno v:
IEEE Access, Vol 9, Pp 76296-76306 (2021)
Nowadays, Reinforcement Learning (RL) is applied to various real-world tasks and attracts much attention in the fields of games, robotics, and autonomous driving. It is very challenging and devices overwhelming to directly apply RL to real-world envi
Externí odkaz:
https://doaj.org/article/3e3e65d660e74c579a47b25a96f83dc6
Publikováno v:
IEEE Access, Vol 7, Pp 36682-36690 (2019)
Rotary inverted pendulum is an unstable and highly nonlinear device and has been used as a common application model in nonlinear control engineering field. In this paper, we use a rotary inverted pendulum as a deep reinforcement learning environment.
Externí odkaz:
https://doaj.org/article/c22a8a6a5cae4332967859cd6df60380
Publikováno v:
Sensors, Vol 20, Iss 5, p 1359 (2020)
Reinforcement learning has recently been studied in various fields and also used to optimally control IoT devices supporting the expansion of Internet connection beyond the usual standard devices. In this paper, we try to allow multiple reinforcement
Externí odkaz:
https://doaj.org/article/93f794fa784a40788cec68f405dd1266
Publikováno v:
Applied Sciences, Vol 9, Iss 12, p 2550 (2019)
Recently, with the advent of various Internet of Things (IoT) applications, a massive amount of network traffic is being generated. A network operator must provide different quality of service, according to the service provided by each application. T
Externí odkaz:
https://doaj.org/article/8d4c45f66dd74fec86f94bdf05120383
Publikováno v:
Journal of the Korean Society of Stereotactic and Functional Neurosurgery. 18:103-106
Drugs administered for anesthesia can trigger seizure attacks in patients with epilepsy. Benzodiazepines have been consistently reported to be anticonvulsants, and a novel benzodiazepine, remimazolam, was recently introduced. We report a case of tota
Autor:
Yeong-Gwan Jeon, Sujin Kim, Ji-Hyoung Park, Jonghoon Lee, Song, Sang A., Hyun Kyo Lim, Seung Woo Song
Publikováno v:
Medicine; 12/8/2023, Vol. 102 Issue 49, p1-7, 7p