Zobrazeno 1 - 10
of 3 344
pro vyhledávání: '"fuzzy entropy"'
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
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
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e33945- (2024)
Wind energy is becoming increasingly competitive, Accurate and reliable multi-engine wind power forecasts can reduce power system operating costs and improve wind power consumption capacity. Existing research on wind power forecasting has neglected t
Externí odkaz:
https://doaj.org/article/ee17fb39ca1c48c296aa00f90718369e
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
Publikováno v:
IEEE Access, Vol 12, Pp 86572-86582 (2024)
Software reliability growth models (SRGMs) are widely used for predicting the reliability of software systems during testing and debugging. Selecting the most appropriate SRGM solutions is a multi-criteria decision-making (MCDM) problem that is very
Externí odkaz:
https://doaj.org/article/07428e7d0a6f4aed99c4fade2f948253
Publikováno v:
Actuators, Vol 13, Iss 10, p 411 (2024)
This paper presents an innovative approach to high-temperature health monitoring of aircraft structures utilizing an ultrasonic guided wave transmission and reception system integrated with a zirconia heat buffer layer. Aiming to address the challeng
Externí odkaz:
https://doaj.org/article/981ee212b2ec428eb320fc3298dfd620
Autor:
Barbara Cardone, Ferdinando Di Martino
Publikováno v:
Information, Vol 15, Iss 10, p 615 (2024)
Analyzing the uncertainty of outcomes based on estimates of the data’s membership degrees to fuzzy sets is essential for making decisions. These fuzzy sets are often designated by experts as strong fuzzy partitions of the data domain with trapezoid
Externí odkaz:
https://doaj.org/article/c01cd4d31d82464e8719691665255bf6