Zobrazeno 1 - 10
of 3 389
pro vyhledávání: '"Fuzzy Entropy"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract In the era of cloud service popularization, the trustworthiness of service is particularly important. If users cannot prevent the potential trustworthiness problem of the service during long-term use, once the trustworthiness problem occurs,
Externí odkaz:
https://doaj.org/article/7734a33b49d4420a9f900986ac7560e8
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
The affective Brain-Computer Interface (aBCI) systems strive to enhance prediction accuracy for individual subjects by leveraging data from multiple subjects. However, significant differences in EEG (Electroencephalogram) feature patterns among subje
Externí odkaz:
https://doaj.org/article/b36ea6fb3bbe45f6b5085289e5261186
Autor:
Xintong Liu, Hongrui Zhao
Publikováno v:
Ecological Indicators, Vol 168, Iss , Pp 112779- (2024)
Quantifying watershed state is crucial for ecological management and sustainable development. Traditional methods, often based on multiple indicators and subjective weighting, struggle to objectively and comprehensively capture the inherent complexit
Externí odkaz:
https://doaj.org/article/985fb0f68ee7482690f33199975c3617
Akademický článek
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Autor:
Haojie Wu
Publikováno v:
PeerJ Computer Science, Vol 10, p e2353 (2024)
Product prices frequently manifest nonlinear and nonstationary time-series attributes, indicating potential variations in their behavioral patterns over time. Conventional linear models may fall short in adequately capturing these intricate propertie
Externí odkaz:
https://doaj.org/article/efbea62a2bcb44b2b832d906ff508a63
Autor:
Liu, Xintong a, b, Zhao, Hongrui a, b, ⁎
Publikováno v:
In Ecological Indicators November 2024 168
Publikováno v:
In Journal of Environmental Management November 2024 370
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The growing demand of China for petroleum heightens the complexities and prospects in worldwide investments, necessitating refined and strategic investment approaches. Evaluating the potential of different hydrocarbon-potential areas needs m
Externí odkaz:
https://doaj.org/article/1b47e36ef4a047a4b932f3d693dcd427
Autor:
DAN Yufang, TAO Jianwen
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 674-692 (2024)
Domain adaptation (DA) aims to solve the problem of inconsistent distribution between training dataset and test dataset, which has attracted extensive attention. Most of the existing DA methods solve this problem by the maximum mean discrepancy (MMD)
Externí odkaz:
https://doaj.org/article/5cd3846ea4f9483eb476d175a3eafa80