Pathways and challenges of the application of artificial intelligence to geohazards modelling
The application of artificial intelligence (AI) and machine learning in geohazard modelling
has been rapidly growing in recent years, a trend that is observed in several research and …
has been rapidly growing in recent years, a trend that is observed in several research and …
[HTML][HTML] GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms
Hazards and disasters have always negative impacts on the way of life. Landslide is an
overwhelming natural as well as man-made disaster that causes loss of natural resources …
overwhelming natural as well as man-made disaster that causes loss of natural resources …
[HTML][HTML] Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
As threats of landslide hazards have become gradually more severe in recent decades,
studies on landslide prevention and mitigation have attracted widespread attention in …
studies on landslide prevention and mitigation have attracted widespread attention in …
Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity …
H Nhat-Duc, T Van-Duc - Automation in Construction, 2023 - Elsevier
Raveling is a widely encountered defect found in asphalt pavements. Raveling deteriorates
riding safety and accelerates the development of other pavement defects. Therefore, timely …
riding safety and accelerates the development of other pavement defects. Therefore, timely …
Spatial prediction of landslide susceptibility using gis-based data mining techniques of anfis with whale optimization algorithm (woa) and grey wolf optimizer (gwo)
The most dangerous landslide disasters always cause serious economic losses and human
deaths. The contribution of this work is to present an integrated landslide modelling …
deaths. The contribution of this work is to present an integrated landslide modelling …
Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area
This research aims at investigating the capability of Keras's deep learning models with three
robust optimization algorithms (stochastic gradient descent, root mean square propagation …
robust optimization algorithms (stochastic gradient descent, root mean square propagation …
Landslide susceptibility mapping with r. landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks
L Bragagnolo, RV da Silva, JMV Grzybowski - Environmental Modelling & …, 2020 - Elsevier
This study presents r. landslide, a free and open source add-on to the open source
Geographic Information System (GIS) GRASS software for landslide susceptibility mapping …
Geographic Information System (GIS) GRASS software for landslide susceptibility mapping …
Landslide susceptibility assessment at Mila Basin (Algeria): a comparative assessment of prediction capability of advanced machine learning methods
A Merghadi, B Abderrahmane, D Tien Bui - ISPRS International Journal of …, 2018 - mdpi.com
Landslide risk prevention requires the delineation of landslide-prone areas as accurately as
possible. Therefore, selecting a method or a technique that is capable of providing the …
possible. Therefore, selecting a method or a technique that is capable of providing the …
The uncertainty of landslide susceptibility prediction modeling: Suitability of linear conditioning factors
For linear conditioning factors such as rivers, roads, and geological faults, existing studies
mainly use buffer analysis in Geographic Information System to obtain discrete variables …
mainly use buffer analysis in Geographic Information System to obtain discrete variables …
A GIS-based artificial neural network model for flood susceptibility assessment
N Khoirunisa, CY Ku, CY Liu - International Journal of Environmental …, 2021 - mdpi.com
This article presents a geographic information system (GIS)-based artificial neural network
(GANN) model for flood susceptibility assessment of Keelung City, Taiwan. Various factors …
(GANN) model for flood susceptibility assessment of Keelung City, Taiwan. Various factors …