Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Seongwoo Lee"'
Autor:
Junho Kang, Jun Hyeong Lee, Hongui Cha, Jinhyeon An, Joonha Kwon, Seongwoo Lee, Seongryong Kim, Mert Yakup Baykan, So Yeon Kim, Dohyeon An, Ah-Young Kwon, Hee Jung An, Se-Hoon Lee, Jung Kyoon Choi, Jong-Eun Park
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract The complexity of the tumor microenvironment poses significant challenges in cancer therapy. Here, to comprehensively investigate the tumor-normal ecosystems, we perform an integrative analysis of 4.9 million single-cell transcriptomes from
Externí odkaz:
https://doaj.org/article/105f3625e9d74191b0c8c5478582fe77
Publikováno v:
ICT Express, Vol 9, Iss 6, Pp 1226-1232 (2023)
Imbalanced datasets are common in industrial internet of things (IIoT) systems due to challenges in acquiring faulty labels. Augmentation and graph-based methods have been proposed to improve classification accuracy of deep learning-based systems. Ho
Externí odkaz:
https://doaj.org/article/c06858d0fd7a4ecf9ecd7d3b29cca189
Publikováno v:
Economies, Vol 12, Iss 8, p 214 (2024)
This study investigated whether economic motivations are a key factor in international migration decisions. Applying the selectivity-corrected expected income for migrants and stayers, the difference in expected income for an individual in origin and
Externí odkaz:
https://doaj.org/article/6dca0d6fbf3245efaf276e907089c191
Autor:
Soohyun Kim, Youngghyu Sun, Seongwoo Lee, Joonho Seon, Byungsun Hwang, Jeongho Kim, Jinwook Kim, Kyounghun Kim, Jinyoung Kim
Publikováno v:
Energies, Vol 17, Iss 12, p 3057 (2024)
The transition to smart grids has served to transform traditional power systems into data-driven power systems. The purpose of this transition is to enable effective energy management and system reliability through an analysis that is centered on ene
Externí odkaz:
https://doaj.org/article/76c61ddd68934b1da47d1b6cf750ce9c
Publikováno v:
Energies, Vol 17, Iss 3, p 624 (2024)
Energy management systems (EMSs) are regarded as essential components within smart grids. In pursuit of efficiency, reliability, stability, and sustainability, an integrated EMS empowered by machine learning (ML) has been addressed as a promising sol
Externí odkaz:
https://doaj.org/article/7e6332e2e07c48958869aad52823bb34
Publikováno v:
Nanomaterials, Vol 13, Iss 15, p 2199 (2023)
Toxic industrial chemicals (TICs), when accidentally released into the workplace or environment, often form a gaseous mixture that complicates detection and mitigation measures. However, most of the existing gas sensors are unsuitable for detecting s
Externí odkaz:
https://doaj.org/article/f354b1a12e8447f5b287577082171bec
Autor:
Youngghyu Sun, Jiyoung Lee, Soohyun Kim, Joonho Seon, Seongwoo Lee, Chanuk Kyeong, Jinyoung Kim
Publikováno v:
Energies, Vol 16, Iss 3, p 1109 (2023)
Energy theft causes a lot of economic losses every year. In the practical environment of energy theft detection, it is required to solve imbalanced data problem where normal user data are significantly larger than energy theft data. In this paper, a
Externí odkaz:
https://doaj.org/article/f69c8c3d253842ec8c92cbadbaff2c8d
Autor:
Jaeyoung Heo, Jin Hyun Park, Sun Gu Song, Seongwoo Lee, Seongyeop Lim, Chang Young Lee, Han Yong Bae, Changsik Song
Publikováno v:
RSC Advances; 2024, Vol. 14 Issue 11, p7720-7727, 8p
Publikováno v:
Journal of Real Estate Analysis. 9:1-22
Publikováno v:
Energies, Vol 14, Iss 17, p 5515 (2021)
Inefficiencies in energy trading systems of microgrids are mainly caused by uncertainty in non-stationary operating environments. The problem of uncertainty can be mitigated by analyzing patterns of primary operation parameters and their correspondin
Externí odkaz:
https://doaj.org/article/d07330705569487fba3a0b1ad2064f2e