Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dogun, Kim"'
Autor:
Seungpeel Lee, Jisu Kim, Eun Been Choi, Sojung Shin, Dogun Kim, HyeRim Yu, Seoyun Kim, Wongi S. Na, Eunil Park
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 12, Pp 13911-13927 (2022)
Since information and communication technology (ICT) has become one of the leading and essential fields for allowing developing countries to have the major growth engines, the majority of the countries have promoted collaboration in every ICT-related
Externí odkaz:
https://doaj.org/article/84eef6d21c47474bb3ee38965a550bda
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6202 (2021)
Upflow granular media filtration devices are widely used for stormwater runoff treatment. However, the system performance is not well characterized due to the irregular removal of suspended solid (SS) in the pretreatment (sedimentation) chamber and,
Externí odkaz:
https://doaj.org/article/52f2cfa09d8a4e2b8d7d9c65227805f7
Autor:
Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Publikováno v:
Processes; Volume 10; Issue 7; Pages: 1316
The intensive production of fossil fuels has led to serious polycyclic aromatic hydrocarbon (PAH) contamination in water and soil environments (as PAHs are typical types of emerging contaminants). Bio-Fenton, an alternative to Fenton oxidation, which
Publikováno v:
Journal of Hazardous Materials. 430:128488
In this study, bio-inspired urchin-like structured hydroxyapatite (UHdA) and its magnetic composite (UHdA@Fe
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing
In this study, a home dental care system consisting of an oral image acquisition device and deep learning models for maxillary and mandibular teeth images is proposed. The presented method not only classifies tooth diseases, but also determines wheth
Autor:
Dogun, Kim, Jaisoeng, SONG
Publikováno v:
地域と社会 = Journal of region and society. 10:25-26