Zobrazeno 1 - 10
of 552
pro vyhledávání: '"AN, BYEONGCHAN"'
Autor:
Kim, Sang Min, Kim, Byeongchan, Sehanobish, Arijit, Choromanski, Krzysztof, Shim, Dongseok, Dubey, Avinava, Oh, Min-hwan
Improving the efficiency and performance of implicit neural representations in 3D, particularly Neural Radiance Fields (NeRF) and Signed Distance Fields (SDF) is crucial for enabling their use in real-time applications. These models, while capable of
Externí odkaz:
http://arxiv.org/abs/2410.09771
Publikováno v:
The World Journal of Men's Health, Vol 42, Iss 4, Pp 667-680 (2024)
For many males, sexual function holds significant value in determining their quality of life. Despite the importance of male erectile function, no quantitative method to measure it accurately is currently available. Standardized assessment methods
Externí odkaz:
https://doaj.org/article/e021242af9b04d358048f2b2c6da5185
Autor:
Kim, Byeongchan, Oh, Min-hwan
In this paper, we propose a model-based offline reinforcement learning method that integrates count-based conservatism, named $\texttt{Count-MORL}$. Our method utilizes the count estimates of state-action pairs to quantify model estimation error, mar
Externí odkaz:
http://arxiv.org/abs/2307.11352
Publikováno v:
Journal of Materials Research and Technology, Vol 31, Iss , Pp 1644-1654 (2024)
In this study, we propose a new methodology for designing preform shapes for turbofan blisk and disk forgings of IN718 superalloy using a CNN (Convolutional Neural Network). The objective function of the preform design model is set to minimize grain
Externí odkaz:
https://doaj.org/article/a840a19cb38e4012a15ae5da3daab2a4
Publikováno v:
The World Journal of Men's Health, Vol 42, Iss 3, Pp 487-501 (2024)
Many contraceptive methods have been developed over the years due to high demand. However, female contraceptive pills and devices do not work for all females due to health conditions and side effects. Also, the number of males who want to actively
Externí odkaz:
https://doaj.org/article/3c898ed98b9041108bb6214472b81bde
Publikováno v:
Journal of Materials Research and Technology, Vol 30, Iss , Pp 4625-4644 (2024)
We investigated the impact of heat treatment on preform deduction during the hot forging of In718 turbine disks. Proposed preform design method leverages a Convolutional Neural Network (CNN) to aim for minimized damage and uniform grain size in the f
Externí odkaz:
https://doaj.org/article/bb206653a35f4cf898e8fe25bf0e0680
Publikováno v:
In Forensic Science International: Digital Investigation October 2024 50 Supplement
Autor:
Jeong, Heewon, Yun, Byeongchan, Na, Seongyeon, Son, Moon, Chae, Sung Ho, Kim, Chang-Min, Cho, Kyung Hwa
Publikováno v:
In Journal of Membrane Science September 2024 709
Publikováno v:
In Chemosphere August 2024 362
Publikováno v:
In Journal of Materials Research and Technology July-August 2024 31:1644-1654