Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Thaweesak, Trongtirakul"'
Autor:
Adel Oulefki, Yassine Himeur, Thaweesak Trongtirakul, Kahina Amara, Sos Agaian, Samir Benbelkacem, Mohamed Amine Guerroudji, Mohamed Zemmouri, Sahla Ferhat, Nadia Zenati, Shadi Atalla, Wathiq Mansoor
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27973- (2024)
Solar Photovoltaic (PV) systems are increasingly vital for enhancing energy security worldwide. However, their efficiency and power output can be significantly reduced by hotspots and snail trails, predominantly caused by cracks in PV modules. This a
Externí odkaz:
https://doaj.org/article/11cd1991650e4f6b84f340a29f70054b
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 16786-16806 (2023)
Identifying and delineating suspicious regions in thermal breast images poses significant challenges for radiologists during the examination and interpretation of thermogram images. This paper aims to tackle concerns related to enhancing the differen
Externí odkaz:
https://doaj.org/article/eca807d4a5954066b855ebf182fd6e26
Publikováno v:
IEEE Access, Vol 11, Pp 143936-143947 (2023)
Low-light image enhancement is a challenging task that aims to improve the visibility and quality of images captured in dark environments. However, existing methods often introduce undesirable artifacts such as color distortion, halo effects, blockin
Externí odkaz:
https://doaj.org/article/8ef0988b95c147a2bc3aee076f7a0433
Publikováno v:
IEEE Access, Vol 8, Pp 71940-71950 (2020)
Backlit images are from an excessive reflection of light being opposite to a capturing device. The existing image enhancement methods cannot be directly applied to the backlit images because they are not designed to enhance both broad light and dark
Externí odkaz:
https://doaj.org/article/e87d87f19cbb4d699e6e00759378bc52
Autor:
Samir Benbelkacem, Adel Oulefki, Sos Agaian, Nadia Zenati-Henda, Thaweesak Trongtirakul, Djamel Aouam, Mostefa Masmoudi, Mohamed Zemmouri
Publikováno v:
Diagnostics, Vol 12, Iss 3, p 649 (2022)
Recently many studies have shown the effectiveness of using augmented reality (AR) and virtual reality (VR) in biomedical image analysis. However, they are not automating the COVID level classification process. Additionally, even with the high potent
Externí odkaz:
https://doaj.org/article/8789fb3ce63743308f2836677d0fe594
Publikováno v:
IEEE Journal of Oceanic Engineering. :1-15
Publikováno v:
International Journal of Applied Mathematics and Informatics. 15:98-101
Image enhancement is one of using in various digital signal processing areas. Advances in microcontrollers, microcomputers and computers have developed traditional algorithms in order to improve the quality of the resulting image and have implied man
Autor:
Thaweesak Trongtirakul, Sos S. Agaian
Publikováno v:
Multimodal Image Exploitation and Learning 2022.
Autor:
Samir, Benbelkacem, Adel, Oulefki, Sos, Agaian, Nadia, Zenati-Henda, Thaweesak, Trongtirakul, Djamel, Aouam, Mostefa, Masmoudi, Mohamed, Zemmouri
Publikováno v:
Diagnostics (Basel, Switzerland). 12(3)
Recently many studies have shown the effectiveness of using augmented reality (AR) and virtual reality (VR) in biomedical image analysis. However, they are not automating the COVID level classification process. Additionally, even with the high potent
Due to the COVID-19 as a pandemic, the government has forced the nationwide shutdown of several activities, including educational activities. It has resulted in gigantic migration of universities with education over the internet serving as the educat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::577ae2db722faa88fa963ffc1272fb7e
http://arxiv.org/abs/2201.05993
http://arxiv.org/abs/2201.05993