Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ohtae Jang"'
Autor:
Sangho Jo, Ohtae Jang, Chaitali Bhattacharyya, Minjun Kim, Taeseok Lee, Yewon Jang, Haekang Song, Hyukmin Kwon, Saebyeol Do, Sungho Kim
Publikováno v:
Sensors, Vol 24, Iss 7, p 2286 (2024)
Several studies in computer vision have examined specular removal, which is crucial for object detection and recognition. This research has traditionally been divided into two tasks: specular highlight removal, which focuses on removing specular high
Externí odkaz:
https://doaj.org/article/4224d95d589e462a9c02b30688cd6e1a
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7110 (2023)
This paper addresses the challenge of optimizing objective functions in engineering problems influenced by multiple environmental factors, such as temperature and humidity. Traditional modeling approaches often struggle to capture the complexities of
Externí odkaz:
https://doaj.org/article/ba4a4ac9e66a40bc9416c74e6bc21478
Publikováno v:
Applied Sciences; Volume 13; Issue 12; Pages: 7110
This paper addresses the challenge of optimizing objective functions in engineering problems influenced by multiple environmental factors, such as temperature and humidity. Traditional modeling approaches often struggle to capture the complexities of
In many engineering problems, an optimal solution must be derived by considering reality situations that reflect actual measured data. In the optimization problem, the objective function is modeled through a formula. Such modeling is difficult in rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b5577698a056fe96683c074a9441181
https://doi.org/10.21203/rs.3.rs-2468250/v1
https://doi.org/10.21203/rs.3.rs-2468250/v1
Publikováno v:
2022 22nd International Conference on Control, Automation and Systems (ICCAS).
Publikováno v:
2022 22nd International Conference on Control, Automation and Systems (ICCAS).