Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Doyeob Yeo"'
Publikováno v:
IEEE Access, Vol 12, Pp 88939-88949 (2024)
The deterioration of power generation facilities built during the early stages of plant operation is becoming increasingly severe, raising concerns about potential socioeconomic harm from pipe leaks. Consequently, there is a pressing need for rapid l
Externí odkaz:
https://doaj.org/article/13565a3297e7493a9b0c2723e9ad746f
Autor:
Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel-Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, JiangPeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal of polyps are highly op
Externí odkaz:
https://doaj.org/article/3d626e6de5c5444f94dfea2e49ff5ee3
Publikováno v:
Sensors, Vol 24, Iss 15, p 4991 (2024)
Anomaly detection systems based on artificial intelligence (AI) have demonstrated high performance and efficiency in a wide range of applications such as power plants and smart factories. However, due to the inherent reliance of AI systems on the qua
Externí odkaz:
https://doaj.org/article/bc12e4802dc64d6a88acec5998a56773
Publikováno v:
Sensors, Vol 24, Iss 13, p 4209 (2024)
This paper introduces the novel design and implementation of a low-power wireless monitoring system designed for nuclear power plants, aiming to enhance safety and operational efficiency. By utilizing advanced signal-processing techniques and energy-
Externí odkaz:
https://doaj.org/article/fc8c1e447ee44d65bfee7a561444948a
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4322 (2024)
With the widespread adoption of smart farms and continuous advancements in IoT (Internet of Things) technology, acquiring diverse additional data has become increasingly convenient. Consequently, studies relevant to deep learning models that leverage
Externí odkaz:
https://doaj.org/article/d718cc8a3a09483b8fbd73dfc98574e2
Publikováno v:
Applied Sciences, Vol 11, Iss 8, p 3720 (2021)
A deep-learning technology for knowledge transfer is necessary to advance and optimize efficient knowledge distillation. Here, we aim to develop a new adversarial optimization-based knowledge transfer method involved with a layer-wise dense flow that
Externí odkaz:
https://doaj.org/article/6b205d99bc574718b0580d124625c467
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 254 (2020)
Colorectal cancer is one of the most common cancers with a high mortality rate. The determination of microsatellite instability (MSI) status in resected cancer tissue is vital because it helps diagnose the related disease and determine the relevant t
Externí odkaz:
https://doaj.org/article/ddbc2816829044e7be12584883a2f4cd
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106445
Autor:
Oh-Seok Kwon, Jae Cheol Lee, Jeonghan Lee, Doyeob Yeo, You-Rak Choi, Dongyun Cho, Ji-Hoon Bae
Publikováno v:
Microwave and Optical Technology Letters. 63:2909-2915
Publikováno v:
Applied Sciences
Volume 11
Issue 8
Applied Sciences, Vol 11, Iss 3720, p 3720 (2021)
Volume 11
Issue 8
Applied Sciences, Vol 11, Iss 3720, p 3720 (2021)
A deep-learning technology for knowledge transfer is necessary to advance and optimize efficient knowledge distillation. Here, we aim to develop a new adversarial optimization-based knowledge transfer method involved with a layer-wise dense flow that