Riverside landslide susceptibility overview: leveraging artificial neural networks and machine learning in accordance with the United Nations (UN) sustainable …
Riverside landslides present a significant geohazard globally, posing threats to
infrastructure and human lives. In line with the United Nations' Sustainable Development …
infrastructure and human lives. In line with the United Nations' Sustainable Development …
A survey of emergencies management systems in smart cities
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …
interact with each other. As most people now live in urban areas, cities are experiencing …
[HTML][HTML] Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks
HAH Al-Najjar, B Pradhan - Geoscience Frontiers, 2021 - Elsevier
In recent years, landslide susceptibility mapping has substantially improved with advances
in machine learning. However, there are still challenges remain in landslide mapping due to …
in machine learning. However, there are still challenges remain in landslide mapping due to …
Comprehensive risk assessment for identifying suitable residential zones in Manavgat, Mediterranean Region
The absence of comprehensive risk analysis in residential development within certain
regions often leads to substantial human and material losses during natural disasters. The …
regions often leads to substantial human and material losses during natural disasters. The …
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 …
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides
The robustness of landslide prediction models has become a major focus of researchers
worldwide. We developed two novel hybrid predictive models that combine the self …
worldwide. We developed two novel hybrid predictive models that combine the self …
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
Landslide susceptibility maps provide crucial information that helps local authorities, public
institutions, and land-use planners make the correct decisions when they are managing …
institutions, and land-use planners make the correct decisions when they are managing …
Ensemble learning-based classification models for slope stability analysis
In this study, ensemble learning was applied to develop a classification model capable of
accurately estimating slope stability. Two prominent ensemble techniques—parallel learning …
accurately estimating slope stability. Two prominent ensemble techniques—parallel learning …
Comparison of gradient boosted decision trees and random forest for groundwater potential mapping in Dholpur (Rajasthan), India
S Sachdeva, B Kumar - Stochastic Environmental Research and Risk …, 2021 - Springer
In the drought prone district of Dholpur in Rajasthan, India, groundwater is a lifeline for its
inhabitants. With population explosion and rapid urbanization, the groundwater is being …
inhabitants. With population explosion and rapid urbanization, the groundwater is being …
Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China
China has been subject to rapid urban expansion and afforestation since the economic
reform in 1978. However, the influence of land use and cover changes (LUCCs) and human …
reform in 1978. However, the influence of land use and cover changes (LUCCs) and human …