Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Xi'an Li"'
Publikováno v:
Artificial Intelligence in Geosciences, Vol 5, Iss , Pp 100084- (2024)
Water prediction plays a crucial role in modern-day water resource management, encompassing both hydrological patterns and demand forecasts. To gain insights into its current focus, status, and emerging themes, this study analyzed 876 articles publis
Externí odkaz:
https://doaj.org/article/5571bd2906bb43d19c69a54a8156828f
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The power dispatching network forms the backbone of efforts to automate and modernize power grid dispatching, rendering it an indispensable infrastructure element within the power system. However, accurately forecasting future flows remains a formida
Externí odkaz:
https://doaj.org/article/c34785227c554b2a87a76fff37908288
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10195 (2024)
Rainfall infiltration affects permafrost-related slope stability by changing the pore water pressure in soil. In this study, the infiltration responses under rainfall conditions were elucidated. The instantaneous profile method and filter paper metho
Externí odkaz:
https://doaj.org/article/af4160e3cdcd4c348616ac395b5372ba
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 3800-3812 (2023)
Electricity demand forecasting is of great significance to the electricity system and residents’ life, but it is difficult to forecast the electricity demand series because of the influence of cyclical factors. Electricity demand forecasting also f
Externí odkaz:
https://doaj.org/article/b7d7e74d0b804a94af0be04f1c1c19e0
Publikováno v:
Geotechnics, Vol 3, Iss 2, Pp 161-178 (2023)
In this study, cement was used as a component to provide a stabilizing effect in order to evaluate the hardness and stability of loess soil. To evaluate the strength properties of loess soil reinforced with cement, samples with four distinct cement c
Externí odkaz:
https://doaj.org/article/47367b2352ab4a86bc9a37a06ad64145
Publikováno v:
Buildings, Vol 13, Iss 1, p 145 (2023)
The precision and reliability of test findings are closely related to the uniformity of remolded loess samples. Although many methods to evaluate the uniformity of remolded loess have been proposed, they have not been widely accepted, due to the many
Externí odkaz:
https://doaj.org/article/2511398633d34bbda92f8e20de9b40ef
Publikováno v:
Buildings, Vol 13, Iss 1, p 176 (2023)
The confined compression test is the most widely used test to study the compressive deformation of soil in a laboratory, and the height–diameter (H/D) ratio has a significant effect on the confined compression test results. However, there has been
Externí odkaz:
https://doaj.org/article/9131e15d7be348b89859fe6b421506db
Publikováno v:
Mathematics, Vol 10, Iss 22, p 4186 (2022)
Deep learning—in particular, deep neural networks (DNNs)—as a mesh-free and self-adapting method has demonstrated its great potential in the field of scientific computation. In this work, inspired by the Deep Ritz method proposed by Weinan E et a
Externí odkaz:
https://doaj.org/article/1563db8bfb3548cf894209a9ac33b825
Autor:
Xi’an Li, Xin Bu, Fei Yan, Fuli Wang, Di Wei, Jiarui Yuan, Wanxiang Zheng, Jin Su, Jianlin Yuan
Publikováno v:
Renal Failure, Vol 41, Iss 1, Pp 481-488 (2019)
Background: Renal interstitial fibrosis is a common pathway of chronic kidney disease to end-stage renal disease, which is characterized by an imbalance between the synthesis and degradation of the collagen-rich extracellular matrix (ECM). While, dis
Externí odkaz:
https://doaj.org/article/601421d798994c3889de2a1b385d105d
Autor:
Zhitao Hao, Xi’an Li, Rongrong Gao, Mingxiao An, Jing Zhang, Feng Wen, Bingquan Zhou, Quan Xue
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9412 (2022)
The uniformity of remolded loess samples prepared in the laboratory directly determines the reliability of various test results. While many tests have been designed to reflect the properties of undisturbed loess, there are obvious structural differen
Externí odkaz:
https://doaj.org/article/7c35d8fe49bb41828afe1de0d63c1141