Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Yanbin Yuan"'
Publikováno v:
IEEE Access, Vol 12, Pp 133770-133783 (2024)
To improve the quality of industrial internet network security assessment, this paper proposes an improved industrial internet network security situation assessment model. First,we analyze the factors that affect the network security of the industria
Externí odkaz:
https://doaj.org/article/2fb6ab578ada45a1b0305431d983dff4
Publikováno v:
Sensors, Vol 24, Iss 14, p 4716 (2024)
This paper predicts the network security posture of an ICS, focusing on the reliability of Industrial Control Systems (ICSs). Evidence reasoning (ER) and belief rule base (BRB) techniques are employed to establish an ICS network security posture pred
Externí odkaz:
https://doaj.org/article/0697184b7a1142e6a533b142e0e86738
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 436 (2023)
As the most abundant greenhouse gas in the atmosphere, CO2 has a significant impact on climate change. Therefore, the determination of the temporal and spatial distribution of CO2 is of great significance in climate research. However, existing CO2 mo
Externí odkaz:
https://doaj.org/article/7509234c6f594338972433fca15297a2
Publikováno v:
IEEE Access, Vol 9, Pp 6769-6785 (2021)
Soft Computing Techniques (SCT) are extensively used to estimate Labyrinth Weir's (LW) flow-rate. Due to the multiplicity of these techniques, identifying the most competent SCT is indispensable. This study aims to estimate the flow-rate of a sharp-c
Externí odkaz:
https://doaj.org/article/75585d14842f4ed38370bfe6200f8b2c
Autor:
Ali Mahmoud, Xiaohui Yuan, Marwan Kheimi, Mohammad A. Almadani, Taher Hajilounezhad, Yanbin Yuan
Publikováno v:
IEEE Access, Vol 9, Pp 25458-25472 (2021)
Labyrinth Weir (LW) is a popular control structure that passes a significantly higher flow rate compared to the linear weirs. In order to approach the optimal design of a trapezoidal LW, a multi-objective problem is defined to concurrently minimize t
Externí odkaz:
https://doaj.org/article/65ec197ce3994e36aac0ee31e06f2ed7
Publikováno v:
Water, Vol 14, Iss 19, p 2996 (2022)
Drought is a common and greatly influential natural disaster, yet its reliable estimation and prediction remain a challenge. The object of this paper is to investigate the spatiotemporal evolution of drought in the Yangtze River basin. The multi-time
Externí odkaz:
https://doaj.org/article/2bae8ee1478d433f84f2d138fd455616
Publikováno v:
Atmosphere, Vol 13, Iss 9, p 1352 (2022)
Ambient exposure to fine particulate matter (PM2.5) in eastern China, a densely populated region with very high-level PM2.5 pollution, has attracted great concern from the public, government, and scientific community. By taking advantage of advanced
Externí odkaz:
https://doaj.org/article/c54d5751a9cb4292bb902482753165c1
Publikováno v:
GeoHealth, Vol 5, Iss 6, Pp n/a-n/a (2021)
Abstract As of July 27, 2020, COVID‐19 has caused 640,000 deaths worldwide and has had a major impact on people's productivity and lives. Analyzing the spatial distribution characteristics of COVID‐19 cases and their relationships with meteorolog
Externí odkaz:
https://doaj.org/article/b707ff79f7514cd48e509e15abb67f43
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2807 (2022)
NO2 (nitrogen dioxide) is a common pollutant in the atmosphere that can have serious adverse effects on the health of residents. However, the existing satellite and ground observation methods are not enough to effectively monitor the spatiotemporal h
Externí odkaz:
https://doaj.org/article/b8ca37def9bd42df8e61a401f389a0fa
Publikováno v:
Advances in Meteorology, Vol 2017 (2017)
Hybrid Ensemble Empirical Mode Decomposition (EEMD) and Least Square Support Vector Machine (LSSVM) is proposed to improve short-term wind speed forecasting precision. The EEMD is firstly utilized to decompose the original wind speed time series into
Externí odkaz:
https://doaj.org/article/1106e48d38af417c869912a0904cab30