Zobrazeno 1 - 10
of 1 369
pro vyhledávání: '"kernel extreme learning machine"'
Publikováno v:
Oil Shale, Vol 41, Iss 3, Pp 163-188 (2024)
The lithology distribution of fine-grained sedimentary rocks in regional space plays a crucial role in guiding the exploration of oil shale layers. Identifying lithology by conventional logging information is efficient and cost-effective. However, th
Externí odkaz:
https://doaj.org/article/6e83a434f0194b2dbb27b56185c03bca
Autor:
Yunshui Zheng, Yuefan Zhang
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 5, Pp 2771-2782 (2024)
Aiming at the problem of low fault diagnosis accuracy of high-voltage pulse track circuit, a track circuit fault diagnosis method based on kernel extreme learning machine (KELM) optimized by improved Harris hawks optimization (IHHO) is proposed. Firs
Externí odkaz:
https://doaj.org/article/7ff0af458bd6450fbee9bf1b35ba1278
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-24 (2024)
Abstract As the complexity of power systems increases, accurate load forecasting becomes crucial. This paper proposes a method for short-term electrical load forecasting that integrates fuzzy rough set (FRS) theory and multi-kernel extreme learning m
Externí odkaz:
https://doaj.org/article/47f581cdb92042e195459994aa6fd4c9
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37352- (2024)
Landslide risk mapping can be an effective reference for disaster mitigation and land use planning, but the modelling process involves multidisciplinary knowledge which leads to its complexity. In this study, Jiaxian County in Shaanxi Province on the
Externí odkaz:
https://doaj.org/article/5d1bd5648eba44d685f903e818b9e3f3
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36460- (2024)
The automatic identification of foreign accents can play a crucial role in various speech systems, including speaker identification, e-learning, telephone banking, and more. Additionally, it can greatly enhance the robustness of Automatic Speech Reco
Externí odkaz:
https://doaj.org/article/31a9cadfe4ae4b43ac68e5db561eb78f
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Facial expression detection from images and videos has recently gained attention due to the wide variety of applications it has found in the field of computer vision such as advanced driving assistance systems (ADAS), augmented and virtual r
Externí odkaz:
https://doaj.org/article/df30e3bb56c546a482913d0ca3e67d3d
Autor:
Mengling Zhao, Xuan Zhou
Publikováno v:
IEEE Access, Vol 12, Pp 50755-50778 (2024)
To effectively mitigate and address the impact of wind power uncertainty on the efficient operation of the power grid, this study proposes a novel multi-step short-term wind power prediction model based on complementary ensemble empirical modal decom
Externí odkaz:
https://doaj.org/article/4abd5698c34140a696ee0c4849f39fd7
Publikováno v:
IEEE Access, Vol 12, Pp 50287-50299 (2024)
Power transformers are the vital and expensive components of the power system. Timely identifying and diagnosing the transformer faults is critical to maintaining the stability of the power grid. As a sensitive and economical tool, the frequency resp
Externí odkaz:
https://doaj.org/article/3b948bc9014741c8a19fc21eb3eb54e0
Publikováno v:
Batteries, Vol 10, Iss 11, p 398 (2024)
The accurate prediction of lithium-ion battery state of health (SOH) can extend battery life, enhance device safety, and ensure sustained reliability in critical applications. Addressing the non-linear and non-stationary characteristics of battery ca
Externí odkaz:
https://doaj.org/article/31c0cc5670984ade8e87127dc78a7bdf
Publikováno v:
Land, Vol 13, Iss 10, p 1724 (2024)
Displacement deformation prediction is critical for landslide disaster monitoring, as a good landslide displacement prediction system helps reduce property losses and casualties. Landslides in the Three Gorges Reservoir Area (TGRA) are affected by pr
Externí odkaz:
https://doaj.org/article/d1c8bc32d59e4316ba7eaf0ed0586327