A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment

RMA Ikram, AA Dehrashid, B Zhang, Z Chen… - … Research and Risk …, 2023 - Springer
Inherent hazards such as landslides pose a threat to human life and may inflict significant
harm on the surrounding ecosystem. For planning, controlling, and avoiding landslide …

Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial …

MC Iban, SS Bilgilioglu - Stochastic Environmental Research and Risk …, 2023 - Springer
This study examines the use of snow avalanche susceptibility maps (SASMs) to identify
areas prone to avalanches and develop measures to mitigate the risk in the Province of …

Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey

Z Usta, H Akıncı, AT Akın - Earth Science Informatics, 2024 - Springer
Turkey's Artvin province is prone to landslides due to its geological structure, rugged
topography, and climatic characteristics with intense rainfall. In this study, landslide …

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment

S Yang, D Li, Y Sun, X She - Environmental Earth Sciences, 2024 - Springer
The quality of landslide susceptibility assessment is effected by landslide inventory and
raster resolution. The point landslide inventory and polygon landslide inventory are usually …

Landslide susceptibility assessment along the Expressway Taza-El Hoceima, North-East Morocco, using machine learning algorithm

H Cherifi, AA Chaouni, I Raini, A Htitiou - Arabian Journal of Geosciences, 2022 - Springer
Landslides constitute one of the recurrent challenges in road infrastructure projects, whose
proper management implies significant economic and safety gains. Thus, the prediction of …