|
|
|
|
|
Hyobin Sunwoo, Wonjun Choi, Seunguk Na, Cheekyeong Kim and Seokjae Heo
As reconstruction and redevelopment accelerate, the generation of construction waste increases, and construction waste treatment technology is being developed accordingly, especially using artificial intelligence (AI). The majority of AI research project...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sunwoo Han and Hyunjoong Kim
Random forest is an ensemble method that combines many decision trees. Each level of trees is determined by an optimal rule among a candidate feature set. The candidate feature set is a random subset of all features, and is different at each level of tre...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sunwoo Yuk, Kiwon Choi, Sang-Geon Park and Sukmin Lee
The results obtained by this paper are used as data for establishing test standards for lithium batteries used in electric wheelchairs. In addition, the test results derived from this paper have been consistently discussed in ISO TC173 SC1 WG and ICMDE 2...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kyung-Hwan Kwak, Sung Ho Woo, Kyung Hwan Kim, Seung-Bok Lee, Gwi-Nam Bae, Young-Il Ma, Young Sunwoo and Jong-Jin Baik
Mobile monitoring and computational fluid dynamics (CFD) modeling are complementary methods to examine spatio-temporal variations of air pollutant concentrations at high resolutions in urban areas. We measured nitrogen oxides (NOx), black carbon (BC), pa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wooyeon Sunwoo, Minha Choi
Pág. 1 - 20
Runoff prediction in limited-data areas is vital for hydrological applications, such as the design of infrastructure and flood defenses, runoff forecasting, and water management. Rainfall?runoff models may be useful for simulation of runoff generation, p...
ver más
|
|
|
|
|
|