Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Landslide susceptibility map** and assessment using geospatial platforms and weights of evidence (WoE) method in the Indian Himalayan Region: recent …

AK Batar, T Watanabe - ISPRS International Journal of Geo-Information, 2021 - mdpi.com
The Himalayan region and hilly areas face severe challenges due to landslide occurrences
during the rainy seasons in India, and the study area, ie, the Rudraprayag district, is no …

Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using …

BT Pham, DT Bui, I Prakash, MB Dholakia - Catena, 2017 - Elsevier
The main objective of this study is to evaluate and compare the performance of landslide
models using machine learning ensemble technique for landslide susceptibility assessment …

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 …

Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate …

H Hong, HR Pourghasemi, ZS Pourtaghi - Geomorphology, 2016 - Elsevier
Landslides are an important natural hazard that causes a great amount of damage around
the world every year, especially during the rainy season. The Lianhua area is located in the …

RETRACTED: Landslide susceptibility map** at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression …

H Shahabi, S Khezri, BB Ahmad, M Hashim - 2014 - Elsevier
Due to the high number of minor and major errors that affect a significant part of the paper,
substantial corrections would be necessary. As declared by the authors, these errors are …

A systematic review of landslide probability map** using logistic regression

MEA Budimir, PM Atkinson, HG Lewis - Landslides, 2015 - Springer
Logistic regression studies which assess landslide susceptibility are widely available in the
literature. However, a global review of these studies to synthesise and compare the results …