Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Chang-Hwan Son"'
Publikováno v:
IEEE Access, Vol 12, Pp 78024-78039 (2024)
Rain streaks impede image feature extraction, hindering the performance of computer vision algorithms such as pedestrian and lane detection in adverse weather conditions. Image deraining is crucial for enhancing reliability of such algorithms. Howeve
Externí odkaz:
https://doaj.org/article/2c502fc917d342dcbd1a70a505b3ce5a
Autor:
Jae-Hyeon Lee, Chang-Hwan Son
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3810 (2023)
Pest counting, which predicts the number of pests in the early stage, is very important because it enables rapid pest control, reduces damage to crops, and improves productivity. In recent years, light traps have been increasingly used to lure and ph
Externí odkaz:
https://doaj.org/article/a347d9de418d438d973a945d3e2c1f51
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 736 (2023)
Noninvasive blood pressure estimation is crucial for cardiovascular and hypertension patients. Cuffless-based blood pressure estimation has received much attention recently for continuous blood pressure monitoring. This paper proposes a new methodolo
Externí odkaz:
https://doaj.org/article/1acc791bf0834ecaa69df45974495907
Publikováno v:
IEEE Access, Vol 8, Pp 125648-125658 (2020)
Estimating the correct respiratory rate (RR) is an essential technique for intensive care units, hospitals, geriatric hospital facilities, and home care services. Capnography is a standard methodology used to monitor carbon dioxide concentrations or
Externí odkaz:
https://doaj.org/article/6555173792a94018bed3cc84eb2b8147
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 1221 (2023)
Cuffless blood pressure (BP) monitoring is crucial for patients with cardiovascular disease and hypertension. However, conventional BP monitors provide only single-point estimates without confidence intervals. Therefore, the statistical variability i
Externí odkaz:
https://doaj.org/article/5e3cc0784cd34231869d683d0f2b9a09
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8355 (2022)
Various machine learning models have been used in the biomedical engineering field, but only a small number of studies have been conducted on respiratory rate estimation. Unlike ensemble models using simple averages of basic learners such as bagging,
Externí odkaz:
https://doaj.org/article/885c2e7448ae4fb1879eb1859dbd24a5
Autor:
Chang-Hwan Son, Da-Hee Jeong
Publikováno v:
Sensors, Vol 22, Iss 14, p 5359 (2022)
With the recent increase in intelligent CCTVs for visual surveillance, a new image degradation that integrates resolution conversion and synthetic rain models is required. For example, in heavy rain, face images captured by CCTV from a distance have
Externí odkaz:
https://doaj.org/article/9f319405bc9945e28622527650cb56d9
Autor:
Chang-Hwan Son
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7960 (2021)
This study proposes a new attention-enhanced YOLO model that incorporates a leaf spot attention mechanism based on regions-of-interest (ROI) feature extraction into the YOLO framework for leaf disease detection. Inspired by a previous study, which re
Externí odkaz:
https://doaj.org/article/f1ac3134a2464d398beb98820e90676a
Autor:
Chang-Hwan Son
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 7006 (2021)
Layer decomposition to separate an input image into base and detail layers has been steadily used for image restoration. Existing residual networks based on an additive model require residual layers with a small output range for fast convergence and
Externí odkaz:
https://doaj.org/article/fbccc804807c4ae598eb0e515ac6da9e
Autor:
Chang-Hwan Son, Su-Yeon Jeong
Publikováno v:
The Journal of Korean Institute of Information Technology. 21:107-115