Landslide Dynamic Susceptibility Mapping Base on Machine Learning and the PS-InSAR Coupling Model
F Miao, Q Ruan, Y Wu, Z Qian, Z Kong, Z Qin - Remote Sensing, 2023 - mdpi.com
Complex and fragile geological conditions combined with periodic fluctuations in reservoir
water levels have led to frequent landslide disasters in the Three Gorges Reservoir area …
water levels have led to frequent landslide disasters in the Three Gorges Reservoir area …
Machine learning embedded hybrid MCDM model to mitigate decision uncertainty in transport safety planning for OAS countries
W Zhou, H Feng, Z Guo, H Jia, Y Li, X Luo… - Socio-Economic …, 2024 - Elsevier
Providing defensible decisions is a prerequisite for methodologies of multi-criteria decision-
making (MCDM) activities, and this is especially true for socio-economic analysis in public …
making (MCDM) activities, and this is especially true for socio-economic analysis in public …
Investigating machine learning and ensemble learning models in groundwater potential mapping in arid region: case study from Tan-Tan water-scarce region …
A Jari, EM Bachaoui, S Hajaj, A Khaddari… - Frontiers in …, 2023 - frontiersin.org
Groundwater resource management in arid regions has a critical importance for sustaining
human activities and ecological systems. Accurate mapping of groundwater potential plays a …
human activities and ecological systems. Accurate mapping of groundwater potential plays a …
Estimating best nanomaterial for energy harvesting through reinforcement learning DQN coupled with fuzzy PROMETHEE under road-based conditions
SK Raju, GK Varadarajan, AH Alharbi, S Kannan… - Scientific Reports, 2024 - nature.com
Energy harvesters based on nanomaterials are getting more and more popular, but on their
way to commercial availability, some crucial issues still need to be solved. The objective of …
way to commercial availability, some crucial issues still need to be solved. The objective of …
Landslide susceptibility zoning: integrating multiple Intelligent models with SHAP Analysis
In this study, we aim to delineate landslide susceptibility zones within Dien Bien province,
Vietnam, leveraging the capabilities of various machine learning models including Light …
Vietnam, leveraging the capabilities of various machine learning models including Light …
Predictive landslide susceptibility modeling in the southeastern hilly region of Bangladesh: application of machine learning algorithms in Khagrachari district
Landslides pose a severe threat to people, buildings, and infrastructure. The rugged terrain
of the Chattogram Hill Tract region in southeastern Bangladesh frequently experiences …
of the Chattogram Hill Tract region in southeastern Bangladesh frequently experiences …
[PDF][PDF] Hydric Erosion Mapping Enhancement in Korifla Sub-Watershed (Central Morocco)
F Eddefli, M Tayebi, S Hajaj, A Khaddari… - Journal of …, 2023 - intapi.sciendo.com
In recent years quantitative and qualitative methods integration has become common in
investigating and modeling hydric erosion. The present study focuses on using a synergistic …
investigating and modeling hydric erosion. The present study focuses on using a synergistic …
Machine Learning Techniques for Multicriteria Decision-Making
W Shafik - Multi-Criteria Decision-Making and Optimum Design …, 2025 - taylorfrancis.com
In today's complex and data-driven world, decision-making often involves multiple conflicting
criteria, leading to the need for effective multicriteria decision-making (MCDM) techniques …
criteria, leading to the need for effective multicriteria decision-making (MCDM) techniques …
Assessing the Landslide Hazard in Västra Götaland, Sweden: A comparative analysis evaluating the accuracy of Spatial Multi Criteria Decision Analysis, Frequency …
H Dalhammer - 2024 - diva-portal.org
Due to global warming and changing weather conditions, landslide hazards are increasingly
threatening global populations. This is particularly concerning for Västra Götaland, Sweden …
threatening global populations. This is particularly concerning for Västra Götaland, Sweden …
Machine Learning Techniques for Landslide Susceptibility Mapping in Choman District, Iraq
K Chomani - EURASIAN JOURNAL OF SCIENCE AND …, 2024 - eajse.tiu.edu.iq
The geographic information system (GIS) and remote sensing techniques used in this study
with an integration of different machine learning techniques such as support vector machine …
with an integration of different machine learning techniques such as support vector machine …