Zobrazeno 1 - 10
of 18 034
pro vyhledávání: '"Kernel density Estimation"'
Autor:
Alharbi, Yasser
Publikováno v:
International Journal of Pervasive Computing and Communications, 2022, Vol. 20, Issue 4, pp. 439-449.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-03-2022-0119
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 856-870 (2024)
The primary causes leading to a high false warning rate in Lane Departure Warning (LDW) systems are the inaccuracy in departure trajectory prediction and inadequate consideration in determining the departure threshold. This study proposes a personali
Externí odkaz:
https://doaj.org/article/a6d85695b68745c8a44f6f9aac152437
Publikováno v:
Ziyuan Kexue, Vol 46, Iss 11, Pp 2178-2193 (2024)
[Objective] The purpose of this study was to evaluate the performance of green and low-carbon development in the Major Strategic Regions of China, analyze its spatiotemporal differentiation characteristics and dynamic change, and provide a scientific
Externí odkaz:
https://doaj.org/article/012931047b03497aae45790eccb99395
Publikováno v:
Zhejiang dianli, Vol 43, Iss 11, Pp 106-115 (2024)
To effectively address the impact of uncertainties in wind turbine output on the safe and economical operation of microgrids， this paper proposes a two-stage distributed robust optimal scheduling model for microgrids that accounts for these uncerta
Externí odkaz:
https://doaj.org/article/a5ae51f705984f8ab17c2183620ae9b1
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Traffic density is a crucial indicator for evaluating the level of service, as it directly reflects the degree of road congestion and driving comfort. However, accurately predicting real-time traffic density has been a significant challenge
Externí odkaz:
https://doaj.org/article/2ca9ddc012654beb8fd5e334336998cc
Autor:
Xiang-Min Li
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Object Promoting the accessibility and equity of healthcare services, as well as enhancing service capacity, are crucial for building a sound healthcare system. Particularly in the past two years of the normalized COVID-19 situation, this is
Externí odkaz:
https://doaj.org/article/718438172f9e4622b3676fb77b70a1f4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Exploring the interaction and coupling effects within the population‒land‒water‒industry (PLWI) system is conducive to promoting high-quality regional sustainable development. Taking the lower Yellow River during the period from 2000 t
Externí odkaz:
https://doaj.org/article/3cedf21ff21240388c8b61678a73f25e
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background This study aims to explore the development status of the supply level of professional public health resources in Beijing Municipality, analyze the areal differences and spatial distribution characteristics of the supply level in 1
Externí odkaz:
https://doaj.org/article/1f12fb48fd904cf39baf8413deebcf03
Publikováno v:
发电技术, Vol 45, Iss 4, Pp 684-695 (2024)
ObjectivesDistributed photovoltaic power prediction is of great significance for the operation and scheduling of photovoltaic power plants. Point prediction methods are difficult to comprehensively describe the uncertainty of distributed photovoltaic
Externí odkaz:
https://doaj.org/article/53432ce182f54b819d4d0d2cde8f49a7
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
The uncertainty arising from random sampling of non-debris flow samples significantly impacts the accuracy of debris flow susceptibility assessments (DFSA). This study introduces a novel uncertainty elimination method, Kernel Density Estimation (KDE)
Externí odkaz:
https://doaj.org/article/06ba108c059a4b44990d7377d6f69e8e