Zobrazeno 1 - 10
of 13 454
pro vyhledávání: '"Park Dong"'
Publikováno v:
ERJ Open Research, Vol 10, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/0441e069394d4df190f61b3b7a68c18e
Publikováno v:
ERJ open research [ERJ Open Res] 2024 Aug 27; Vol. 10 (4). Date of Electronic Publication: 2024 Aug 27 (Print Publication: 2024).
Akademický článek
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Autor:
Gao, Min, Guo, Yukun, Hormel, Tristan T., Wang, Jie, White, Elizabeth, Park, Dong-Wouk, Hwang, Thomas S., Bailey, Steven T., Jia, Yali
To develop a new method to quantify nonperfused retinal capillaries (NPCs) by using co-registered optical coherence tomography (OCT) and OCT angiography (OCTA), and to evaluate NPCs in eyes with age-related macular degeneration (AMD) and diabetic ret
Externí odkaz:
http://arxiv.org/abs/2411.05244
Out-of-distribution (OOD) detection, which aims to distinguish unknown classes from known classes, has received increasing attention recently. A main challenge within is the unavailable of samples from the unknown classes in the training process, and
Externí odkaz:
http://arxiv.org/abs/2410.06134
Autor:
Cho, Min Woo, Hwang, Seok Hyeon, Jang, Jun-Young, Song, Jin Yeong, Hwang, Sun-kwang, Cha, Kyoung Je, Park, Dong Yong, Song, Kyungjun, Park, Sang Min
Ventilated acoustic resonator(VAR), a type of acoustic metamaterial, emerge as an alternative for sound attenuation in environments that require ventilation, owing to its excellent low-frequency attenuation performance and flexible shape adaptability
Externí odkaz:
http://arxiv.org/abs/2408.05917
Publikováno v:
Journal of Ecological Engineering. 24:81-91
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::807a064dcaa897149a6b6ae594aa8980
https://doi.org/10.12911/22998993/156757
https://doi.org/10.12911/22998993/156757
Autor:
Tran, Le-Anh, Park, Dong-Chul
This paper proposes a single image dehazing prior, called Regional Saturation-Value Translation (RSVT), to tackle the color distortion problems caused by conventional dehazing approaches in bright regions. The RSVT prior is developed based on two key
Externí odkaz:
http://arxiv.org/abs/2403.12054
This paper proposes a data augmentation method for improving the robustness of driving object detectors against domain shift. Domain shift problem arises when there is a significant change between the distribution of the source data domain used in th
Externí odkaz:
http://arxiv.org/abs/2403.12049
Out-of-distribution (OOD) detection is critical for ensuring the reliability of open-world intelligent systems. Despite the notable advancements in existing OOD detection methodologies, our study identifies a significant performance drop under the sc
Externí odkaz:
http://arxiv.org/abs/2311.12076