Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network

Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models

(2020) Zhilu Chang et al.   Remote Sensing

Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China

(2019) Yumiao Wang et al.   International Journal of Environmental Research and Public Health

A New Approach Using AHP to Generate Landslide Susceptibility Maps in the Chen-Yu-Lan Watershed, Taiwan

(2019) Thi Nguyen et al.   SENSORS

A Novel Rule-based Approach In Mapping Landslide Susceptibility

(2019) Majid Shadman Roodposhti et al.   SENSORS

Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-based FR–RF Integrated Model and Multiresolution DEMs

(2019) Arabameri et al.   Remote Sensing

Landslide Susceptibility Mapping Based on Random Forest and Boosted Regression Tree Models, and a Comparison of Their Performance

(2019) Soyoung Park et al.   Applied Sciences-Basel

Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution

(2019) Ataollah Shirzadi et al.   CATENA

Cascade-LSTM-Based Visual-Inertial Navigation for Magnetic Levitation Haptic Interaction

(2019) Qianqian Tong et al.   IEEE NETWORK

A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

(2019) Faming Huang et al.   Landslides

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Novel Performance Assessment Approach using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest

(2019) Sevgen et al.   SENSORS

Improving GIS-based Landslide Susceptibility Assessments with Multi-temporal Remote Sensing and Machine Learning

(2019) Lai et al.   SENSORS

Harris Hawks Optimization: A Novel Swarm Intelligence Technique for Spatial Assessment of Landslide Susceptibility

(2019) Bui et al.   SENSORS

Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal

(2019) Pukar Amatya et al.   Remote Sensing

Landslide Susceptibility Prediction Using Particle-Swarm-Optimized Multilayer Perceptron: Comparisons with Multilayer-Perceptron-Only, BP Neural Network, and Information Value Models

(2019) Deying Li et al.   Applied Sciences-Basel

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

(2019) Wei Chen et al.   Applied Sciences-Basel

Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles

(2019) Hossein Moayedi et al.   SENSORS

A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India

(2019) Jagabandhu Roy et al.   Remote Sensing

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

(2018) Aril Aditian et al.   GEOMORPHOLOGY

Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda

(2018) Jean Nsengiyumva et al.   International Journal of Environmental Research and Public Health

Remote Sensing of Landslides—A Review

(2018) Chaoying Zhao et al.   Remote Sensing

Forecasting of Power Grid Investment in China Based on Support Vector Machine Optimized by Differential Evolution Algorithm and Grey Wolf Optimization Algorithm

(2018) Shuyu Dai et al.   Applied Sciences-Basel

Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree

(2018) Xuan Truong et al.   Applied Sciences-Basel

Landslide susceptibility assessment in the Nantian area of China: a comparison of frequency ratio model and support vector machine

(2018) Faming Huang et al.   Geomatics Natural Hazards & Risk

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

(2018) Dieu Tien Bui et al.   Remote Sensing

Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea

(2018) Sung-Jae Park et al.   Remote Sensing

A ROC analysis-based classification method for landslide susceptibility maps

(2018) Isidro Cantarino et al.   Landslides

Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway

(2018) Liming Xiao et al.   SENSORS

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

(2018) Ataollah Shirzadi et al.   SENSORS

Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau

(2018) Juan Cao et al.   CATENA

Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine

(2017) Faming Huang et al.   ENGINEERING GEOLOGY

Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression

(2017) Gwo-Fong Lin et al.   ENGINEERING GEOLOGY

Landslide displacement prediction based on multivariate chaotic model and extreme learning machine

(2017) Faming Huang et al.   ENGINEERING GEOLOGY

LSTM-CRF for Drug-Named Entity Recognition

(2017) et al.   Entropy

A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China

(2017) Haoyuan Hong et al.   GEOMORPHOLOGY

Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques

(2017) Wei Chen et al.   GEOMORPHOLOGY

Character-level neural network for biomedical named entity recognition

(2017) Mourad Gridach   JOURNAL OF BIOMEDICAL INFORMATICS

Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China

(2017) Qian Wang et al.   Remote Sensing

Stability Analysis of Hydrodynamic Pressure Landslides with Different Permeability Coefficients Affected by Reservoir Water Level Fluctuations and Rainstorms

(2017) Faming Huang et al.   Water

Uncertainty of the Soil–Water Characteristic Curve and Its Effects on Slope Seepage and Stability Analysis under Conditions of Rainfall Using the Markov Chain Monte Carlo Method

(2017) Weiping Liu et al.   Water

A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM)

(2016) Arzu Erener et al.   ENGINEERING GEOLOGY

Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping

(2016) E. Arnone et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China

(2016) Xianyu Yu et al.   International Journal of Environmental Research and Public Health

Guidance Index for Shallow Landslide Hazard Analysis

(2016) Cheila Avalon Cullen et al.   Remote Sensing

Subsidence prediction and susceptibility zonation for collapse above goaf with thick alluvial cover: a case study of the Yongcheng coalfield, Henan Province, China

(2015) Bin Zhang et al.   Bulletin of Engineering Geology and the Environment

Landslide susceptibility mapping in Mizunami City, Japan: A comparison between logistic regression, bivariate statistical analysis and multivariate adaptive regression spline models

(2015) Liang-Jie Wang et al.   CATENA

Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

(2015) Haoyuan Hong et al.   CATENA

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

(2015) Kennedy Were et al.   ECOLOGICAL INDICATORS

GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China

(2015) Wei Chen et al.   Environmental Earth Sciences

Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice River basin (western Sicily, Italy)

(2015) Christian Conoscenti et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece

(2015) Paraskevas Tsangaratos 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

An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic

(2014) A-Xing Zhu et al.   GEOMORPHOLOGY

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

GIS deterministic model-based 3D large-scale artificial slope stability analysis along a highway using a new slope unit division method

(2014) Ning Jia et al.   NATURAL HAZARDS

Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy)

(2013) Massimo Conforti et al.   CATENA

Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models

(2013) Himan Shahabi et al.   CATENA

Influence of land relief and soil properties on stand structure of overgrown oak forests of coppice origin with Sorbus torminalis

(2013) Tomasz H. Szymura et al.   Dendrobiology

The Varnes classification of landslide types, an update

(2013) Oldrich Hungr et al.   Landslides

On the Variation of NDVI with the Principal Climatic Elements in the Tibetan Plateau

(2013) Jian Sun et al.   Remote Sensing

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks

(2012) Dieu Tien Bui et al.   GEOMORPHOLOGY

Rainfall-triggered large landslides on 15 December 2005 in Van Canh District, Binh Dinh Province, Vietnam

(2012) Do Minh Duc   Landslides

Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

(2012) Ángel M. Felicísimo et al.   Landslides

A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey)

(2012) Gökçe Deniz Hasekioğulları et al.   NATURAL HAZARDS

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

Landslide susceptibility assessment: what are the effects of mapping unit and mapping method?

(2011) A. Erener et al.   Environmental Earth Sciences