Review on landslide susceptibility mapping using support vector machines
Y Huang, L Zhao - Catena, 2018 - Elsevier
Landslides are natural phenomena that can cause great loss of life and damage to property.
A landslide susceptibility map is a useful tool to help with land management in landslide …
A landslide susceptibility map is a useful tool to help with land management in landslide …
[HTML][HTML] Structural neuroimaging as clinical predictor: A review of machine learning applications
In this paper, we provide an extensive overview of machine learning techniques applied to
structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We …
structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We …
Prediction of cement-based mortars compressive strength using machine learning techniques
The application of artificial neural networks in mapping the mechanical characteristics of the
cement-based materials is underlined in previous investigations. However, this machine …
cement-based materials is underlined in previous investigations. However, this machine …
Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques
River flooding can be a highly destructive natural hazard. Numerous approaches have been
used to study the phenomenon; however, insufficient knowledge regarding flood …
used to study the phenomenon; however, insufficient knowledge regarding flood …
Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
In this paper, an ensemble method, which demonstrated efficiency in GIS based flood
modeling, was used to create flood probability indices for the Damansara River catchment in …
modeling, was used to create flood probability indices for the Damansara River catchment in …
Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
Statistical learning theory is the basis of support vector machine (SVM) technique. This
technique in natural hazard assessment is getting extremely popular these days. It contains …
technique in natural hazard assessment is getting extremely popular these days. It contains …
Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
Flood is one of the most devastating natural disasters that occur frequently in Terengganu,
Malaysia. Recently, ensemble based techniques are getting extremely popular in flood …
Malaysia. Recently, ensemble based techniques are getting extremely popular in flood …
Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
Flood is one of the most commonly occurred natural hazards worldwide. Severe flood
occurrences in Kelantan, Malaysia cause damage to both life and property every year. Due …
occurrences in Kelantan, Malaysia cause damage to both life and property every year. Due …
Landslide susceptibility assessment in vietnam using support vector machines, decision tree, and Naive Bayes Models
D Tien Bui, B Pradhan, O Lofman… - Mathematical problems …, 2012 - Wiley Online Library
The objective of this study is to investigate and compare the results of three data mining
approaches, the support vector machines (SVM), decision tree (DT), and Naïve Bayes (NB) …
approaches, the support vector machines (SVM), decision tree (DT), and Naïve Bayes (NB) …
Examining hybrid and single SVM models with different kernels to predict rock brittleness
The aim of this study was twofold:(1) to assess the performance accuracy of support vector
machine (SVM) models with different kernels to predict rock brittleness and (2) compare the …
machine (SVM) models with different kernels to predict rock brittleness and (2) compare the …