Zobrazeno 1 - 10
of 157
pro vyhledávání: '"EfficientNetV2"'
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36754- (2024)
Corrosion is one of the key factors leading to material failure, which can occur in facilities and equipment closely related to people's lives, causing structural damage and thus affecting the safety of people's lives and property. To identify corros
Externí odkaz:
https://doaj.org/article/8956335041954d8b87c5b95bd2a6a630
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 2, Pp 153-178 (2024)
The classification of human face shapes, a pivotal aspect of one’s appearance, plays a crucial role in diverse fields like beauty, cosmetics, healthcare, and security. In this paper, we present a multi-step methodology for face shape classification
Externí odkaz:
https://doaj.org/article/4551610e97604f9bb25e4e5c34a132d2
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
Intelligent apple-picking robots can significantly improve the efficiency of apple picking, and the realization of fast and accurate recognition and localization of apples is the prerequisite and foundation for the operation of picking robots. Existi
Externí odkaz:
https://doaj.org/article/e8a9dd1131124e4796dbf6cc21090ea9
Publikováno v:
Science Journal of University of Zakho, Vol 12, Iss 2 (2024)
In the field of breast cancer diagnosis, the precise classification of benign images plays a pivotal role in ensuring effective patient care. This research undertakes a detailed examination of EfficientNetV2 models, specifically focusing on their abi
Externí odkaz:
https://doaj.org/article/e6f33a28586a4254b5292c1e6b7b29f5
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7235 (2024)
In the context of accelerated urbanization, assessing the quality of the existing built environment plays a crucial role in urban renewal. In the existing research and use of deep learning models, most categories are urban construction areas, forest
Externí odkaz:
https://doaj.org/article/894ad46c91d14edb9c2299c481005d66
Autor:
Moteeb Al Moteri, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Surbhi Bhatia Khan, Mohammed Alojail
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Breast cancer, a prevalent cancer among women worldwide, necessitates precise and prompt detection for successful treatment. While conventional histopathological examination is the benchmark, it is a lengthy process and prone to variations among diff
Externí odkaz:
https://doaj.org/article/bf456ff5c1fb43b0b9a3fe849b3a6137
Autor:
Shu-You Lin, Chun-Ling Lin
Publikováno v:
PeerJ Computer Science, Vol 10, p e1754 (2024)
According to the Ten Leading Causes of Death Statistics Report by the Ministry of Health and Welfare in 2021, cancer ranks as the leading cause of mortality. Among them, pleomorphic glioblastoma is a common type of brain cancer. Brain cancer often oc
Externí odkaz:
https://doaj.org/article/48b6dfd881c14a968c8b7e780a9d02a4
Autor:
Du Kangning, Ning Shaohui
Publikováno v:
Jixie chuandong, Vol 47, Pp 168-176 (2023)
A rolling bearing fault diagnosis model based on two-step transfer learning and EfficientNetV2 (TSTE) is proposed for the real fault diagnosis environment in engineering, where the scarcity of available data leads to the low accuracy of the intellige
Externí odkaz:
https://doaj.org/article/eac266e1e84f460984ceb2c922a18219
Autor:
Xiao Ma, Xuemei Luo
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 11081-11100 (2023)
Deep learning is an important technology in the field of image recognition. Finger vein recognition based on deep learning is one of the research hotspots in the field of image recognition and has attracted a lot of attention. Among them, CNN is the
Externí odkaz:
https://doaj.org/article/11a10e47c14f44f18d1cbb86aba32f30
Publikováno v:
Ecology and Evolution, Vol 13, Iss 11, Pp n/a-n/a (2023)
Abstract Human‐mediated hybridization between native and non‐native species is causing biodiversity loss worldwide. Hybridization has contributed to the extinction of many species through direct and indirect processes such as loss of reproductive
Externí odkaz:
https://doaj.org/article/06f7d5ed91ee44db9342ccfe0de8d0ba