Zobrazeno 1 - 10
of 452
pro vyhledávání: '"denoising autoencoders"'
Autor:
Ivan Yanchin, C. Guedes Soares
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1573 (2024)
This paper is dedicated to correcting the WAM/ICON numerical wave model predictions by reducing the residue between the model’s predictions and the actual buoy observations. The two parameters used in this paper are significant wave height and wind
Externí odkaz:
https://doaj.org/article/bd6c7bf9f17b4ae8872be53ea50a19d8
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 505-511 (2023)
With the continuous expansion of renewable energy in the power grid, a massive number of operating states have been added to the power system. The heavy computational task brings new challenges to the efficiency of reliability assessment. In this reg
Externí odkaz:
https://doaj.org/article/afdf8df1157841fa94b7878cc33bc966
Publikováno v:
IEEE Access, Vol 11, Pp 66212-66226 (2023)
In order to ensure the security of computer systems and networks, it is very important to design and implement intrusion detection systems that can detect and mitigate network attacks and threats. Deep learning has great advantages in processing comp
Externí odkaz:
https://doaj.org/article/7140d4ea842e48b797cfe928fc916e90
Autor:
Punam Bedi, Anuradha Singhal
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5797-5809 (2022)
With the increase in digital communication, images have become indispensable media for carrying obscured communication these days. Unraveling the presence or details of obscured transmission also known as steganography is termed as steganalysis. Pass
Externí odkaz:
https://doaj.org/article/5aee0923c8eb448bada7e881ea6515e6
Publikováno v:
PeerJ, Vol 11, p e15862 (2023)
Background Automatic cell type identification has been an urgent task for the rapid development of single-cell RNA-seq techniques. Generally, the current approach for cell type identification is to generate cell clusters by unsupervised clustering an
Externí odkaz:
https://doaj.org/article/1687af24dd644d59a991a5fef4e441a4
Akademický článek
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Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2003-2011 (2022)
Identification of autism spectrum disorder (ASD) in children is challenging due to the complexity and heterogeneity of ASD. Currently, most existing methods mainly rely on a single modality with limited information and often cannot achieve satisfacto
Externí odkaz:
https://doaj.org/article/487877832dfd4171a51feef1b5964b85
Autor:
Ali Can Kara, Fırat Hardalaç
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 1009-1029 (2021)
This study aimed to build progressively operating deep learning models that could detect meniscus injuries, anterior cruciate ligament (ACL) tears and knee abnormalities in magnetic resonance imaging (MRI). The Stanford Machine Learning Group MRNet d
Externí odkaz:
https://doaj.org/article/ea3f6c9907a041e98bce9443ac500037
Akademický článek
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Akademický článek
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