Scientometric analysis of artificial intelligence (AI) for geohazard research
S Jiang, J Ma, Z Liu, H Guo - Sensors, 2022 - mdpi.com
Geohazard prevention and mitigation are highly complex and remain challenges for
researchers and practitioners. Artificial intelligence (AI) has become an effective tool for …
researchers and practitioners. Artificial intelligence (AI) has become an effective tool for …
Rainfall and water level fluctuations dominated the landslide deformation at Baihetan Reservoir, China
Y Zhu, H Qiu, Z Liu, B Ye, B Tang, Y Li, U Kamp - Journal of Hydrology, 2024 - Elsevier
Understanding the deformation patterns of different types of landslides around reservoirs is
crucial for precise prevention and control of related hazards. However, under the complex …
crucial for precise prevention and control of related hazards. However, under the complex …
Singular spectrum analysis-based hybrid PSO-GSA-SVR model for predicting displacement of step-like landslides: a case of Jiuxian** landslide
H Wen, J ** Reservoir fluctuations in Southwest China
Landslide failures near water can generate impulse waves that can cause fatalities and
property damage. These hazards are extremely prevalent in reservoir areas, such as the …
property damage. These hazards are extremely prevalent in reservoir areas, such as the …
Automatic soil classification method from CPTU data based on convolutional neural networks
W Liu, L Tong, Y Sun, H Wu, X Yan, S Liu - Bulletin of Engineering …, 2024 - Springer
Study on soil classification using piezocone penetration test (CPTU) has accumulated a
considerable number of research findings. Inspired by the rapid developments in machine …
considerable number of research findings. Inspired by the rapid developments in machine …
[HTML][HTML] A classification-based machine learning approach to the prediction of cyanobacterial blooms in Chilgok Weir, South Korea
Cyanobacterial blooms appear by complex causes such as water quality, climate, and
hydrological factors. This study aims to present the machine learning models to predict …
hydrological factors. This study aims to present the machine learning models to predict …
Data mining technology for the identification and threshold of governing factors of landslide in the Three Gorges Reservoir area
Due to the complex geological conditions and external triggering factors, the deformation of
landslide disaster often has spatial differences, especially in the Three Gorges Reservoir …
landslide disaster often has spatial differences, especially in the Three Gorges Reservoir …
Threshold definition for monitoring Gapa Landslide under large variations in reservoir level using GNSS
The triggering threshold is one of the most important parameters for landslide early warning
systems (EWSs) at the slope scale. In the present work, a velocity threshold is recommended …
systems (EWSs) at the slope scale. In the present work, a velocity threshold is recommended …