|
|
|
|
|
DongSoon Park and Hojun You
This paper presents an innovative digital twin dam and watershed management platform, K-Twin SJ, that utilizes real-time data and simulation models to support decision-making for flood response and water resource management. The platform includes a GIS-b...
ver más
|
|
|
|
|
|
|
|
|
Yan Jin, Yong Ge, Haoyu Fan, Zeshuo Li, Yaojie Liu and Yan Jia
Accurate spatial distribution of gridded gross domestic product (GDP) data is crucial for revealing regional disparities within administrative units, thus facilitating a deeper understanding of regional economic dynamics, industrial distribution, and urb...
ver más
|
|
|
|
|
|
|
|
|
Flavo Elano Soares de Souza and José Inácio de Jesus Rodrigues
With the growing availability of remote sensing orbital spatial data, the applications of machine learning (ML) algorithms have been leveraging the field of process automation in image classification. The present work aimed to evaluate the precision and ...
ver más
|
|
|
|
|
|
|
|
|
Yimin Mao, Liang Chen, Yaser A. Nanehkaran, Mohammad Azarafza and Reza Derakhshani
Artificial intelligence (AI) applications have introduced transformative possibilities within geohazard analysis, particularly concerning the assessment of rock slope instabilities. This study delves into the amalgamation of AI and empirical techniques t...
ver más
|
|
|
|
|
|
|
|
|
Marco Bonopera
Stress state evaluation in axially loaded structural members is significant for sustaining and preserving the service life of buildings. While successful monitoring furnishes staunch information on the health, integrity, safety and serviceability of stru...
ver más
|
|
|
|