[HTML][HTML] A review on spatial, temporal and magnitude prediction of landslide hazard
Over the last few decades, several landslide susceptibility and hazard mapping (LSHM)
techniques have been developed. Maps for the same region have also been generated by …
techniques have been developed. Maps for the same region have also been generated by …
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
Nowadays, a number of machine learning prediction methods are being applied in the field
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …
Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
P Tsangaratos, I Ilia - Catena, 2016 - Elsevier
The main objective of the present study was to compare the performance of a classifier that
implements the Logistic Regression and a classifier that employs a Naïve Bayes algorithm in …
implements the Logistic Regression and a classifier that employs a Naïve Bayes algorithm in …
基于证据权法的巴东县城滑坡灾害易发性评价
胡燕， 李德营， 孟颂颂， 孙一清 - 地质科技通报, 2020 - dzkjqb.cug.edu.cn
巴东县城由于其特殊的地理位置和特有的地质条件, 使之成为滑坡灾害多发地带,
严重威胁着巴东县城的发展, 因此, 有必要对巴东县城进行滑坡易发性评价研究. 首先, 基于GIS …
严重威胁着巴东县城的发展, 因此, 有必要对巴东县城进行滑坡易发性评价研究. 首先, 基于GIS …
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron …
The objective of this study is to make a comparison of the prediction performance of three
techniques, Functional Trees (FT), Multilayer Perceptron Neural Networks (MLP Neural …
techniques, Functional Trees (FT), Multilayer Perceptron Neural Networks (MLP Neural …
Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal
Landslide problems are abundant in the mountainous areas of Nepal due to a unique
combination of adverse geological conditions, abundant rainfall and anthropogenic factors …
combination of adverse geological conditions, abundant rainfall and anthropogenic factors …
GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
In arid and semi-arid areas, groundwater resource is one of the most important water
sources by the humankind. Knowledge of groundwater distribution over space, associated …
sources by the humankind. Knowledge of groundwater distribution over space, associated …
[HTML][HTML] Optimization of computational intelligence models for landslide susceptibility evaluation
X Zhao, W Chen - Remote Sensing, 2020 - mdpi.com
This paper focuses on landslide susceptibility prediction in Nanchuan, a high-risk landslide
disaster area. The evidential belief function (EBF)-based function tree (FT), logistic …
disaster area. The evidential belief function (EBF)-based function tree (FT), logistic …
[HTML][HTML] Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh
B Ahmed - Landslides, 2015 - Springer
Landslides are a common hazard in the highly urbanized hilly areas in Chittagong
Metropolitan Area (CMA), Bangladesh. The main cause of the landslides is torrential rain in …
Metropolitan Area (CMA), Bangladesh. The main cause of the landslides is torrential rain in …
Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues
Despite the large number of recent advances and developments in landslide susceptibility
mapping (LSM) there is still a lack of studies focusing on specific aspects of LSM model …
mapping (LSM) there is still a lack of studies focusing on specific aspects of LSM model …