Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Temporal dependencies"'
Publikováno v:
International Journal of Energy Economics and Policy, Vol 14, Iss 5 (2024)
To transform Mexico's electric load infrastructure, accurate electric load forecasts are required that are crucial to efficiently allocate resources, maintain system stability, and manage energy. The purpose of this study is to use the Quantile Trans
Externí odkaz:
https://doaj.org/article/b592faa46bef4b90b3d23ad57c74f673
Publikováno v:
Engineering Reports, Vol 6, Iss 9, Pp n/a-n/a (2024)
Abstract Epilepsy is a disorder that interferes with regular brain activity and can occasionally cause seizures, odd sensations, and momentary unconsciousness. Epilepsy is frequently diagnosed using electroencephalograph (EEG) records, although conve
Externí odkaz:
https://doaj.org/article/c427d69b30eb4f45a8f2ef9e908b3faa
Autor:
Longyun Chen, Chen Qiao, Kai Ren, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
Publikováno v:
NeuroImage, Vol 298, Iss , Pp 120771- (2024)
Modeling dynamic interactions among network components is crucial to uncovering the evolution mechanisms of complex networks. Recently, spatio-temporal graph learning methods have achieved noteworthy results in characterizing the dynamic changes of i
Externí odkaz:
https://doaj.org/article/a77a1a3d97a042c496e33666378de184
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
The urban traffic signal-controlled intersections are of great significance for solving the problem of urban road congestion. Previous research on congestion prediction mainly aggregated data at the level of road segments or traffic flow at a coarse
Externí odkaz:
https://doaj.org/article/ac0f8fa826774d0a872d9c548e056a3f
Publikováno v:
Data Science and Engineering, Vol 9, Iss 2, Pp 113-132 (2023)
Abstract An accurate short-term load forecasting plays an important role in modern power system’s operation and economic development. However, short-term load forecasting is affected by multiple factors, and due to the complexity of the relationshi
Externí odkaz:
https://doaj.org/article/2614dcb9549340c892512dd372cf00eb
Publikováno v:
Sensors, Vol 24, Iss 13, p 4185 (2024)
Predicting the health status of lithium-ion batteries is crucial for ensuring safety. The prediction process typically requires inputting multiple time series, which exhibit temporal dependencies. Existing methods for health status prediction fail to
Externí odkaz:
https://doaj.org/article/0e4a2cebc0084a82b3f9be8e386b5e0b
Publikováno v:
Vietnam Journal of Computer Science, Vol 10, Iss 01, Pp 25-38 (2023)
Traffic forecasting has emerged as an important task for developing intelligent transportation systems. Recent works focus on representing traffic as graph operation and using graph neural networks for spatial–temporal prediction. Most of the appro
Externí odkaz:
https://doaj.org/article/dd935c2bb4fe489bb211dda6e3c5dc79
Publikováno v:
PeerJ Computer Science, Vol 9, p e1450 (2023)
Accurate traffic forecasting plays a critical role in the construction of intelligent transportation systems. However, due to the across road-network isomorphism in the spatial dimension and the periodic drift in the temporal dimension, existing traf
Externí odkaz:
https://doaj.org/article/55a0483e72ab4edaa62975958efe3dba
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Akademický článek
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