Zobrazeno 1 - 10
of 1 718
pro vyhledávání: '"multi-head attention"'
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 45, Iss 5, Pp 562-572 (2024)
In order to solve the problem of the large deviation between the classical option pricing model and the actual price data, based on the BS option pricing model, the Fast Fourier Transform (FFT) combined with the Transformer's multi-head attention mec
Externí odkaz:
https://doaj.org/article/3a3ddd9de161409386fa5f548f188ee6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Cardiac arrhythmias are the leading cause of death and pose a huge health and economic burden globally. Electrocardiography (ECG) is an effective technique for the diagnosis of cardiovascular diseases because of its noninvasive and cost-effe
Externí odkaz:
https://doaj.org/article/4d4c9e3858d849859b34754cbf990402
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract With the increasing awareness of fitness, more and more people are choosing to participate in fitness activities. Yoga, as a form of exercise that improves both physical and mental health, is becoming increasingly popular worldwide. In order
Externí odkaz:
https://doaj.org/article/6f554809432a4ea49a60b70ceed339e9
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 5, Pp 929-936 (2024)
Purposes Leakage detection in underground pipelines such as prestressed concrete cylinder pipes is a crucial aspect of urban infrastructure management and maintenance. In this study, an innovative magnetic anomaly multi-feature fusion network (MMF) i
Externí odkaz:
https://doaj.org/article/c2ae057c98314a4681ddf0b8e58efccb
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2476-2486 (2024)
With the development of social networks, humans express their emotions in different ways, including text, vision and speech, i.e., multimodal. In response to the failure of previous multimodal sentiment analysis methods to effectively obtain multimod
Externí odkaz:
https://doaj.org/article/dd481649ce6442d3b90d4658e9234397
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8109-8125 (2024)
Abstract The safe and reliable operation of the pitch system is essential for the stable and efficient operation of a wind turbine (WT). The pitch fault data collected by supervisory control and data acquisition systems (SCADA) often contain a wide v
Externí odkaz:
https://doaj.org/article/2f5de3f1a5734b8ebc9c3010a7c8dd7c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Accurately predicting the state of health (SOH) of lithium-ion batteries is fundamental in estimating their remaining lifespan. Various parameters such as voltage, current, and temperature significantly influence the battery’s SOH. However
Externí odkaz:
https://doaj.org/article/a760fb27afe045a4b8c86d87aee264c5
Autor:
WANG Yonggui, LIU Danni
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 7, Pp 1792-1805 (2024)
A cross-domain recommendation algorithm combining multi-personalized bridges and self-supervised learning (MS-PTUPCDR) is proposed for users with less project interaction in the target domain in the cross-domain recommendation system. Firstly, a vari
Externí odkaz:
https://doaj.org/article/0b45276b0bd94c9e9a2f11600c1ad33c
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Accurately identifying the risk level of drug combinations is of great significance in investigating the mechanisms of combination medication and adverse reactions. Most existing methods can only predict whether there is an intera
Externí odkaz:
https://doaj.org/article/dbb47cb4118243f98530887a345a4237
Autor:
Yang Li, Yang Yang, Shangling Song, Hongjun Wang, Mengzhou Sun, Xiaoyun Liang, Penghui Zhao, Baiyang Wang, Na Wang, Qiyue Sun, Zijuan Han
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
The most common manifestation of neurological disorders in children is the occurrence of epileptic seizures. In this study, we propose a multi-branch graph convolutional network (MGCNA) framework with a multi-head attention mechanism for detecting se
Externí odkaz:
https://doaj.org/article/f59dda4eba3341d7ac0b0d78bc0a4ef2