Zobrazeno 1 - 10
of 3 797
pro vyhledávání: '"So, Daeho"'
Autor:
Lee, Sung Yun, Cho, Do Hyung, Jung, Chulho, Sung, Daeho, Nam, Daewoong, Kim, Sangsoo, Song, Changyong
Machine learning is attracting surging interest across nearly all scientific areas by enabling the analysis of large datasets and the extraction of scientific information from incomplete data. Data-driven science is rapidly growing, especially in X-r
Externí odkaz:
http://arxiv.org/abs/2409.15784
Publikováno v:
Nat. Photon. 16, 707 (2022)
Performance of nano- and micro-scale heat engines can be improved with a help from quantum mechanical phenomena. Recently, heat reservoirs with quantum coherence have been proposed to enhance engine performance beyond the Carnot limit even with a sin
Externí odkaz:
http://arxiv.org/abs/2406.15710
Autor:
Park, Daeho, Lee, Su Houng
The current ongoing advancements in AI have shed light on the landscape of numerical analysis in science. Inspired by the path of achievement of AI, we have developed a method to construct accurate ground state wave functions of multiquark configurat
Externí odkaz:
http://arxiv.org/abs/2406.00756
Autor:
Yoo, Hyuk Jun, Kim, Nayeon, Lee, Heeseung, Kim, Daeho, Ow, Leslie Tiong Ching, Nam, Hyobin, Kim, Chansoo, Lee, Seung Yong, Lee, Kwan-Young, Kim, Donghun, Han, Sang Soo
The optimization of nanomaterial synthesis using numerous synthetic variables is considered to be extremely laborious task because the conventional combinatorial explorations are prohibitively expensive. In this work, we report an autonomous experime
Externí odkaz:
http://arxiv.org/abs/2309.00349
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Extensive research has established that interpersonal trauma is related to depression and dissociation severity. Extending prior research, this study found that childhood and adulthood interpersonal traumas are related to depressive symptoms
Externí odkaz:
https://doaj.org/article/89079133dc924baf868aa35ae1bcd8f1
This paper investigates a missing feature imputation problem for graph learning tasks. Several methods have previously addressed learning tasks on graphs with missing features. However, in cases of high rates of missing features, they were unable to
Externí odkaz:
http://arxiv.org/abs/2305.16618
With the extensive use of vision-language models in various downstream tasks, evaluating their robustness is crucial. In this paper, we propose a benchmark for assessing the robustness of vision-language models. We believe that a robust model should
Externí odkaz:
http://arxiv.org/abs/2304.10727
Autor:
Bon Ean Koo, Daeho Kim
Publikováno v:
Hanggong uju uihakoeji, Vol 34, Iss 2, Pp 44-52 (2024)
Purpose: Shift work can have physical and mental effects by destroying the physiological rhythm cycle by working at a times that does not match the worker’s physical and daily life rhythm. Due to the nature of its mission, the Korean Air Force p
Externí odkaz:
https://doaj.org/article/763836c674a640798520f3536fb28d42
Autor:
Noh, DongKi, Sung, Changki, Uhm, Teayoung, Lee, WooJu, Lim, Hyungtae, Choi, Jaeseok, Lee, Kyuewang, Hong, Dasol, Um, Daeho, Chung, Inseop, Shin, Hochul, Kim, MinJung, Kim, Hyoung-Rock, Baek, SeungMin, Myung, Hyun
In robotics and computer vision communities, extensive studies have been widely conducted regarding surveillance tasks, including human detection, tracking, and motion recognition with a camera. Additionally, deep learning algorithms are widely utili
Externí odkaz:
http://arxiv.org/abs/2212.14574
Publikováno v:
Environment International, Vol 193, Iss , Pp 109062- (2024)
Acetyl tributyl citrate (ATBC) and acetyl triethyl citrate (ATEC) are widely used as plasticizers, but their metabolites as exposure biomarkers for biomonitoring, as well as approximate human metabolic pathways, are not well understood. This study ad
Externí odkaz:
https://doaj.org/article/63cdbe6ba44a4ef494ca0d68f4bd8746