Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Junsang Park"'
Advancing very short-term rainfall prediction with blended U-Net and partial differential approaches
Autor:
Ji-Hoon Ha, Junsang Park
Publikováno v:
Frontiers in Earth Science, Vol 11 (2024)
Accurate and timely prediction of short-term rainfall is crucial for reducing the damages caused by heavy rainfall events. Therefore, various precipitation nowcasting models have been proposed. However, the performance of these models still remains l
Externí odkaz:
https://doaj.org/article/cd6b3ce832504f2dad34fd38d574b06d
Autor:
Jaehyuk Lee, Junho Boo, Junsang Park, Taiji An, Heewook Shin, Youngjae Cho, Michael Choi, Jinwook Burm, Gilcho Ahn, Seunghoon Lee
Publikováno v:
Electronics Letters, Vol 59, Iss 16, Pp n/a-n/a (2023)
Abstract This letter presents an 11 b 200 MS/s 28 nm CMOS 2b/cycle successive‐approximation register (SAR) analogue‐to‐digital converter (ADC). The offset calibration technique is proposed to reduce the comparator offset mismatch that degrades
Externí odkaz:
https://doaj.org/article/b3acb75a487a48cc8440681e083cf736
Publikováno v:
Agronomy, Vol 11, Iss 2, p 216 (2021)
Leaf wetness duration (LWD) has rarely been measured due to lack of standard protocol. Thus, empirical and physical models have been proposed to resolve this gap. Although the physical model provides robust performance in diverse conditions, it requi
Externí odkaz:
https://doaj.org/article/938d666a9eeb45b3b7ad477576f584da
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 3076 (2020)
Leaf wetness duration (LWD) and plant diseases are strongly associated with each other. Therefore, LWD is a critical ecological variable for plant disease risk assessment. However, LWD is rarely used in the analysis of plant disease epidemiology and
Externí odkaz:
https://doaj.org/article/7f10d89da7ba44ebaea9e65fae94da77
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6495 (2020)
Accurate electrocardiogram (ECG) interpretation is crucial in the clinical ECG workflow because it is most likely associated with a disease that can cause major problems in the body. In this study, we proposed an ECG-signal multi-classification model
Externí odkaz:
https://doaj.org/article/105fd1ad13da4b49991bc3567a4a5ce3
Publikováno v:
Water, Vol 11, Iss 9, p 1878 (2019)
Leaf wetness duration (LWD) models have been proposed as an alternative to in situ LWD measurement, as they can predict leaf wetness using physical mechanism and empirical relationship with meteorological conditions. Applications of advanced machine
Externí odkaz:
https://doaj.org/article/200f40e6ce1e45e3a712ae232ec3ce9b
Autor:
Junsang Park1, Sang Mook Kang1, Yu Deok Won1, Myung-Hoon Han1, Jin Hwan Cheong1, Byeong-Jin Ha1, Je Il Ryu1 ryujeil@hanyang.ac.kr
Publikováno v:
Journal of Korean Neurosurgical Society. Nov2023, Vol. 66 Issue 6, p716-725. 10p.
Publikováno v:
Asia-Pacific Journal of Atmospheric Sciences. 59:239-255
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 27:1-24
Recent advances in deep learning have made it possible to implement artificial intelligence in mobile devices. Many studies have put a lot of effort into developing lightweight deep learning models optimized for mobile devices. To overcome the perfor
Autor:
Junsang Park, Sugie Lee
Publikováno v:
Journal of Korea Planning Association. 57:26-41