Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Seoyoung Hong"'
Autor:
Nayoung Yun, Sangkyu Lim, Seoyoung Hong, Jiwon Moon, Hakjun Lee, Sunmok Kim, Heung-Jae Lee, Ki-Baek Lee
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 11:248-254
Autor:
Jihyun Lee, Suin Gwak, Joonho Gwon, Jihyeon Park, Sowon Eom, Seoyoung Hong, Gahyun Ku, Wanhae Lee, Hyunggu Jung
Publikováno v:
Universal Access in the Information Society.
Many U.S. metropolitan cities are notorious for their severe shortage of parking spots. To this end, we present a proactive prediction-driven optimization framework to dynamically adjust parking prices. We use state-of-the-art deep learning technolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa5021630574baf2f3ec435151635684
Recommender systems are a long-standing research problem in data mining and machine learning. They are incremental in nature, as new user-item interaction logs arrive. In real-world applications, we need to periodically train a collaborative filterin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fbce58f3c4cd25c79baefdb05824827
Autor:
Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong, Minju Jo, Solhee Park, Noseong Park, Seungbeom Lee, Hwiyoung Maeng, Seungmin Jeon
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Publikováno v:
KDD
We present a prediction-driven optimization framework to maximize the market influence in the US domestic air passenger transportation market by adjusting flight frequencies. At the lower level, our neural networks consider a wide variety of features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b76f3140f07893c2eb54867aae1449e
http://arxiv.org/abs/2105.15012
http://arxiv.org/abs/2105.15012
Autor:
Seonghearn Lee, Seoyoung Hong
Publikováno v:
Journal of the Institute of Electronics and Information Engineers. 53:49-53
Autor:
Bharath Ambale Venkatesh, Seoyoung Hong, Mohammadali Habibi, Daniel Lim, Enpei Wu, Neal Jorgenson, W. Gregory Hundley, Steven J Shea, Kiang Liu, Antoinette S Gomes, Susan Heckbert, Wendy S Post, David A Bluemke, Joao A Lima
Publikováno v:
Circulation. 136
Introduction: Left atrial (LA) structure and function are associated with future cardiovascular (CV) events and risk factors. Studying the longitudinal change of LA structure and function with age may provide important insights into the natural histo
Autor:
Seonghearn Lee, Seoyoung Hong
Publikováno v:
JSTS:Journal of Semiconductor Technology and Science. 15:485-489
An accurate large-signal BSIM4 macro model including new empirical bias-dependent equations of the drain-source capacitance and channel resistance constructed from bias-dependent data extracted from S-parameters of RF MOSFETs is developed to reduce S
Autor:
Seoyoung Hong, Seonghearn Lee
Publikováno v:
Electronics Letters. 51:2045-2047
An improved MOSFET output equivalent circuit model is proposed to greatly reduce the Y 22-parameter error of a conventional one in the high-frequency range more than 10 GHz. In this model, a new parallel RC network is connected in series with the dra