Evaluation of deep learning algorithms for landslide susceptibility mapping in an alpine-gorge area: a case study in Jiuzhaigou County

Landslide susceptibility mapping using CNN-1D and 2D deep learning algorithms: comparison of their performance at Asir Region, KSA

(2022) Ahmed M. Youssef et al.   Bulletin of Engineering Geology and the Environment

Convergence of the RMSProp deep learning method with penalty for nonconvex optimization

(2021) Dongpo Xu et al.   NEURAL NETWORKS

Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China

(2021) Wenjuan Li et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea

(2021) Wahyu Luqmanul Hakim et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

A Deep Learning Architecture for Psychometric Natural Language Processing

(2020) Faizan Ahmad et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas

(2020) Juan Du et al.   ENGINEERING GEOLOGY

Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

(2020) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

(2020) Viet-Ha Nhu et al.   CATENA

Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models

(2020) Tao Chen et al.   Journal of Mountain Science

A comparative study of random forests and multiple linear regression in the prediction of landslide velocity

(2020) Martin Krkač et al.   Landslides

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

(2020) Phuong Thao Thi Ngo et al.   Geoscience Frontiers

A comparative evaluation of supervised machine learning algorithms for township level landslide susceptibility zonation in parts of Indian Himalayas

(2020) Bipin Peethambaran et al.   CATENA

Stochastic Gradient Descent and Its Variants in Machine Learning

(2019) Praneeth Netrapalli   JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

(2019) Yi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel voting ensemble model for spatial prediction of landslides using GIS

(2019) Shruti Sachdeva et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Regional landslide susceptibility assessment using multi-stage remote sensing data along the coastal range highway in northeastern Taiwan

(2018) Ching-Fang Lee et al.   GEOMORPHOLOGY

Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes

(2018) Hassan Abu Alhaija et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Coseismic landslides triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications for the seismogenic blind fault identification

(2018) Xuanmei Fan et al.   Landslides

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution

(2018) Haoyuan Hong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake

(2018) Xiliu Yue et al.   International Journal of Disaster Risk Science

Kafnets: Kernel-based non-parametric activation functions for neural networks

(2018) Simone Scardapane et al.   NEURAL NETWORKS

Landslide susceptibility mapping & prediction using Support Vector Machine for Mandakini River Basin, Garhwal Himalaya, India

(2017) Deepak Kumar et al.   GEOMORPHOLOGY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Mapping landslide susceptibility using data-driven methods

(2017) J.L. Zêzere et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

(2016) Binh Thai Pham et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model

(2016) Haydar Y. Hussin et al.   GEOMORPHOLOGY

Modeling landslide susceptibility in Greece: a weighted linear combination approach using analytic hierarchical process, validated with spatial and statistical analysis

(2016) G. Sakkas et al.   NATURAL HAZARDS

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

(2016) Haoyuan Hong et al.   Geocarto International

Preliminary landslide susceptibility zonation using GIS-based fuzzy logic in Vitória, Brazil

(2015) F. D. Bortoloti et al.   Environmental Earth Sciences

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network

(2015) Liang-Jie Wang et al.   GEOSCIENCES JOURNAL

GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China

(2015) Qiqing Wang et al.   Journal of Earth System Science

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

Mapping of rainfall-induced landslide susceptibility in Wencheng, China, using support vector machine

(2015) Cheng Su et al.   NATURAL HAZARDS

Audio-visual speech recognition using deep learning

(2014) Kuniaki Noda et al.   APPLIED INTELLIGENCE

Landslide susceptibility mapping along Kolli hills Ghat road section (India) using frequency ratio, relative effect and fuzzy logic models

(2014) V. Ramesh et al.   Environmental Earth Sciences

Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models

(2014) Ahmed M. Youssef et al.   GEOSCIENCES JOURNAL

An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district

(2014) Taskin Kavzoglu et al.   NATURAL HAZARDS

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya

(2012) Krishna Chandra Devkota et al.   NATURAL HAZARDS

Application of an analytical hierarchical process approach for landslide susceptibility mapping in A Luoi district, Thua Thien Hue Province, Vietnam

(2011) Long Nguyen Thanh et al.   Environmental Earth Sciences

Morphometric analysis of debris flows and their source areas using GIS

(2011) Chien-Yuan Chen et al.   GEOMORPHOLOGY

Spatial distribution analysis of landslides triggered by 2008.5.12 Wenchuan Earthquake, China

(2010) Shengwen Qi et al.   ENGINEERING GEOLOGY

Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia

(2010) Biswajeet Pradhan   Environmental Earth Sciences

An empirical geomorphology-based approach to the spatial prediction of soil thickness at catchment scale

(2010) Filippo Catani et al.   WATER RESOURCES RESEARCH

Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India)

(2009) Iswar Das et al.   GEOMORPHOLOGY

Optimal landslide susceptibility zonation based on multiple forecasts

(2009) Mauro Rossi et al.   GEOMORPHOLOGY

GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China

(2009) Shi-Biao Bai et al.   GEOMORPHOLOGY

Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

(2008) Cees J. van Westen et al.   ENGINEERING GEOLOGY

An implementation of rock engineering system for ranking the instability potential of natural slopes in Greek territory. An application in Karditsa County

(2008) D. Rozos et al.   Landslides

Rainfall-induced landslides and debris flows

(2007) Giovanni B. Crosta et al.   HYDROLOGICAL PROCESSES