Inicio  /  Buildings  /  Vol: 14 Par: 4 (2024)  /  Artículo
ARTÍCULO
TITULO

Exploring the Potential of Machine Learning in Stochastic Reliability Modelling for Reinforced Soil Foundations

Muhammad Nouman Amjad Raja    
Tarek Abdoun and Waleed El-Sekelly    

Resumen

No disponible

 Artículos similares

       
 
Mana Abusaq and Mohamed A. Zohdy    
Amidst a growing global focus on sustainable energy, this study investigates the underutilization of renewable resources in the southern region of Saudi Arabia, with a specific emphasis on the Najran Secondary Industrial Institute (NSII). This research p... ver más

 
Wei He and Mingze Chen    
The advancement of cutting-edge technologies significantly transforms urban lifestyles and is indispensable in sustainable urban design and planning. This systematic review focuses on the critical role of innovative technologies and digitalization, parti... ver más
Revista: Buildings

 
Jiju Guo, Wengeng Cao, Guohui Lang, Qifa Sun, Tian Nan, Xiangzhi Li, Yu Ren and Zeyan Li    
The presence of high concentrations of geogenic arsenic (As) in groundwater poses a serious threat to the health of millions of individuals globally. This paper examines the research progress of groundwater with high concentrations of geogenic As through... ver más
Revista: Water

 
Chunjian Lyu, Jianglong Cui, Fangyuan Jin, Xiaojie Li and Yaning Xu    
The riparian zone has a proven ability to reduce agricultural nonpoint-source nitrogen pollution. However, prior studies have only assessed nitrification and denitrification and their influencing factors, such as hydrology, climate, vegetation, and soil ... ver más
Revista: Water

 
Tai Huang, Kuangang Fan, Wen Sun, Weichao Li and Haoqi Guo    
This paper proposes a random tree algorithm based on a potential field oriented greedy strategy for the path planning of unmanned aerial vehicles (UAVs). Potential-field-RRT (PF-RRT) discards the defect of traditional artificial potential field (APF) alg... ver más
Revista: Drones