Flood susceptibility map** with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
Floods are one of the most widespread natural hazards occurring across the globe. The
main objective of this study was to produce flood susceptibility maps for the province of …
main objective of this study was to produce flood susceptibility maps for the province of …
Comparison of convolutional neural networks for landslide susceptibility map** in Yanshan County, China
Assessments of landslide disasters are becoming increasingly urgent. The aim of this study
is to investigate a convolutional neural network (CNN) framework for landslide susceptibility …
is to investigate a convolutional neural network (CNN) framework for landslide susceptibility …
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
The main aim of the present study is to explore and compare three state-of-the art data
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
Landslide susceptibility map** using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
Landslides are a manifestation of slope instability causing different kinds of damage
affecting life and property. Therefore, high-performance-based landslide prediction models …
affecting life and property. Therefore, high-performance-based landslide prediction models …
[HTML][HTML] Application of artificial intelligence and remote sensing for landslide detection and prediction: systematic review
This paper systematically reviews remote sensing technology and learning algorithms in
exploring landslides. The work is categorized into four key components:(1) literature search …
exploring landslides. The work is categorized into four key components:(1) literature search …
Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China
In China, floods are considered as the most frequent natural disaster responsible for severe
economic losses and serious damages recorded in agriculture and urban infrastructure …
economic losses and serious damages recorded in agriculture and urban infrastructure …
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
The preparation of a landslide susceptibility map is considered to be the first step for
landslide hazard mitigation and risk assessment. However, these maps are accepted as end …
landslide hazard mitigation and risk assessment. However, these maps are accepted as end …
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
Floods are among Earth's most common natural hazards, and they cause major economic
losses and seriously affect peoples' lives and health. This paper addresses the development …
losses and seriously affect peoples' lives and health. This paper addresses the development …
[HTML][HTML] Landslide susceptibility assessment by using convolutional neural network
This study performs a GIS-based landslide susceptibility assessment using a convolutional
neural network, CNN, in a study area of the Gorzineh-khil region, northeastern Iran. For this …
neural network, CNN, in a study area of the Gorzineh-khil region, northeastern Iran. For this …
Deep support vector machine for hyperspectral image classification
To improve on the robustness of traditional machine learning approaches, emphasis has
recently shifted to the integration of such methods with Deep Learning techniques. However …
recently shifted to the integration of such methods with Deep Learning techniques. However …