[HTML][HTML] Landslide susceptibility map** using machine learning: A literature survey
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …
occur more frequently due to increasing urbanization, deforestation, and climate change …
[HTML][HTML] Ensemble learning framework for landslide susceptibility map**: Different basic classifier and ensemble strategy
The application of ensemble learning models has been continuously improved in recent
landslide susceptibility research, but most studies have no unified ensemble framework …
landslide susceptibility research, but most studies have no unified ensemble framework …
Shared blocks-based ensemble deep learning for shallow landslide susceptibility map**
Natural disaster impact assessment is of the utmost significance for post-disaster recovery,
environmental protection, and hazard mitigation plans. With their recent usage in landslide …
environmental protection, and hazard mitigation plans. With their recent usage in landslide …
Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning
T Zeng, L Wu, YS Hayakawa, K Yin, L Gui, B **… - Engineering …, 2024 - Elsevier
Abstract The Three Gorges Dam's operation has been recognized as a contributing factor to
slope instability and the reactivation of pre-existing deep-seated landslides in the region …
slope instability and the reactivation of pre-existing deep-seated landslides in the region …
GIS-based comparative study of the Bayesian network, decision table, radial basis function network and stochastic gradient descent for the spatial prediction of …
J Huang, S Ling, X Wu, R Deng - Land, 2022 - mdpi.com
Landslides frequently occur along the eastern margin of the Tibetan Plateau, which poses a
risk to the construction, maintenance, and transportation of the proposed Dujiangyan city to …
risk to the construction, maintenance, and transportation of the proposed Dujiangyan city to …
A comparative study of heterogeneous and homogeneous ensemble approaches for landslide susceptibility assessment in the Djebahia region, Algeria
This study aims to compare the performance of ensembles according to their inherent
diversity in the context of landslide susceptibility assessment. Heterogeneous and …
diversity in the context of landslide susceptibility assessment. Heterogeneous and …
An integrated approach based landslide susceptibility map**: case of Muzaffarabad region, Pakistan
Landslides result in the devastation of property and loss of lives. This study assesses
landslide susceptibility by employing geographic information systems (GIS) and machine …
landslide susceptibility by employing geographic information systems (GIS) and machine …
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas
Landslides are among the most destructive natural hazards causing loss of life, destruction
of infrastrucures and damage to properties, especially in hilly and mountaneous areas all …
of infrastrucures and damage to properties, especially in hilly and mountaneous areas all …
Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam
Natural hazards constitute a diverse category and are unevenly distributed in time and
space. This hinders predictive efforts, leading to significant impacts on human life and …
space. This hinders predictive efforts, leading to significant impacts on human life and …
A new approach based on Balancing Composite Motion Optimization and Deep Neural Networks for spatial prediction of landslides at tropical cyclone areas
TA Tuan, PD Pha, TT Tam, DT Bui - IEEE Access, 2023 - ieeexplore.ieee.org
Landslides are a significant geological hazard that annually cause extensive damage and
loss of life worldwide. Therefore, it is crucial to have reliable prediction models for landslide …
loss of life worldwide. Therefore, it is crucial to have reliable prediction models for landslide …