A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran

A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran)

(2022) Mitra Asadi et al.   Environmental Earth Sciences

Joint embedding VQA model based on dynamic word vector

(2021) Zhiyang Ma et al.   PeerJ Computer Science

A comparative machine learning approach to identify landslide triggering factors in northern Chilean Patagonia

(2021) Bastian Morales et al.   Landslides

Landslide susceptibility analyses using Random Forest, C4.5, and C5.0 with balanced and unbalanced datasets

(2021) Burak F. Tanyu et al.   CATENA

A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm

(2021) Lijun Chao et al.   Remote Sensing

Landslide mitigation strategies in southeast Bangladesh: Lessons learned from the institutional responses

(2021) Neegar Sultana et al.   International Journal of Disaster Risk Reduction

Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India

(2021) Kanu Mandal et al.   Geoscience Frontiers

Deep learning for geological hazards analysis: Data, models, applications, and opportunities

(2021) Zhengjing Ma et al.   EARTH-SCIENCE REVIEWS

DeepBAN: A Temporal Convolution-Based Communication Framework for Dynamic WBANs

(2021) Kunqian Liu et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Reconstruction of the Cenozoic tectono-thermal history of the Dongpu Depression, Bohai Bay Basin, China: Constraints from apatite fission track and vitrinite reflectance data

(2021) Shu Jiang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Deep Learning for Security in Digital Twins of Cooperative Intelligent Transportation Systems

(2021) Zhihan Lv et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Terrestrial heat flow and lithospheric thermal structure in the Chagan Depression of the Yingen‐Ejinaqi Basin, north central China

(2020) Yinhui Zuo et al.   BASIN RESEARCH

Strictly dissipative stabilization of multiple‐memory Markov jump systems with general transition rates: A novel event‐triggered control strategy

(2020) Wenqian Xie et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

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

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing

(2020) Sha Huang et al.   JOURNAL OF FORESTRY RESEARCH

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis

(2020) Xinxiang Lei et al.   ISPRS International Journal of Geo-Information

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

(2020) Wei Chen et al.   Geoscience Frontiers

GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods

(2020) Xi Chen et al.   CATENA

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

A comprehensive system of definitions of land surface (topographic) curvatures, with implications for their application in geoscience modelling and prediction

(2020) Jozef Minár et al.   EARTH-SCIENCE REVIEWS

Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

(2020) Binh Thai Pham et al.   International Journal of Digital Earth

Selection of Optimal Building Facade Texture Images From UAV-Based Multiple Oblique Image Flows

(2020) Guoqing Zhou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An evolutionary deep belief network extreme learning-based for breast cancer diagnosis

(2019) Somayeh Ronoud et al.   SOFT COMPUTING

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

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

GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine

(2019) Ting-yu Zhang et al.   Journal of Mountain Science

Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors

(2019) Xiangang Luo et al.   PLoS One

A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling

(2019) Mousa Abedini et al.   Environmental Earth Sciences

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

(2019) Faming Huang et al.   Landslides

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

(2019) Sevgen et al.   SENSORS

New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed

(2019) Dieu Tien Bui et al.   Forests

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques

(2019) Kuan-Tsung Chang et al.   Scientific Reports

Coupling logistic model tree and random subspace to predict the landslide susceptibility areas with considering the uncertainty of environmental features

(2019) Xiangang Luo et al.   Scientific Reports

Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas

(2019) Sepideh Tavakkoli Piralilou et al.   Remote Sensing

Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

(2019) Maher Ibrahim Sameen et al.   CATENA

Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)

(2018) Wei Chen et al.   Bulletin of Engineering Geology and the Environment

GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

(2018) Wei Chen et al.   CATENA

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

(2018) Haoyuan Hong et al.   CATENA

The size, distribution, and mobility of landslides caused by the 2015 M w 7.8 Gorkha earthquake, Nepal

(2018) Kevin Roback et al.   GEOMORPHOLOGY

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 detection using COSMO-SkyMed images: a case study of a landslide event on Kii Peninsula, Japan

(2018) Tomohisa Konishi et al.   European Journal of Remote Sensing

A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   Journal of Spatial Science

Spatial variations in the relationships between road network and landscape ecological risks in the highest forest coverage region of China

(2018) Yuying Lin et al.   ECOLOGICAL INDICATORS

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

(2018) Ataollah Shirzadi et al.   SENSORS

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

(2017) Jeong-Cheol Kim et al.   Geocarto International

GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS

(2017) Quang-Khanh Nguyen et al.   Sustainability

Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau

(2017) Tanja Kramm et al.   ISPRS International Journal of Geo-Information

Spatial data analysis and application of evidential belief functions to shallow landslide susceptibility mapping at Mt. Umyeon, Seoul, Korea

(2016) Ananta Man Singh Pradhan et al.   Bulletin of Engineering Geology and the Environment

Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China

(2016) Paraskevas Tsangaratos et al.   Landslides

PR-ELM: Parallel regularized extreme learning machine based on cluster

(2016) Yueqing Wang et al.   NEUROCOMPUTING

Two-hidden-layer extreme learning machine for regression and classification

(2016) B.Y. Qu et al.   NEUROCOMPUTING

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

(2016) Haoyuan Hong et al.   Geomatics Natural Hazards & Risk

A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran

(2015) Alireza Dehnavi et al.   CATENA

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran

(2015) Himan Shahabi et al.   Environmental Earth Sciences

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

(2015) Seyed Amir Naghibi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

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

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

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods

(2015) Binh Thai Pham et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV)

(2015) Darren Turner et al.   Remote Sensing

Attribution of divergent northern vegetation growth responses to lengthening non-frozen seasons using satellite optical-NIR and microwave remote sensing

(2014) Youngwook Kim et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Adapting naive Bayes tree for text classification

(2014) Shasha Wang et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms

(2013) Mohammad Zare et al.   Arabian Journal of Geosciences

Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks

(2013) Dewan Md. Farid et al.   EXPERT SYSTEMS WITH APPLICATIONS

Rainfall event-based landslide susceptibility zonation mapping

(2013) Netra Prakash Bhandary et al.   NATURAL HAZARDS

The Compositions of Kuiper Belt Objects

(2012) Michael E. Brown   Annual Review of Earth and Planetary Sciences

How can statistical models help to determine driving factors of landslides?

(2012) Peter Vorpahl et al.   ECOLOGICAL MODELLING

Characterising performance of environmental models

(2012) Neil D. Bennett et al.   ENVIRONMENTAL MODELLING & SOFTWARE

UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results

(2011) U. Niethammer et al.   ENGINEERING GEOLOGY

Landslide-susceptibility mapping in a semi-arid mountain environment: an example from the southern slopes of Sierra Nevada (Granada, Spain)

(2010) J. D. Jiménez-Perálvarez et al.   Bulletin of Engineering Geology and the Environment

Rock slope instability assessment using spatially distributed structural orientation data in Darjeeling Himalaya (India)

(2010) Saibal Ghosh et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya

(2010) Chandra Prakash Poudyal et al.   Environmental Earth Sciences

Terrain stability mapping on British Columbia forest lands: an historical perspective

(2009) James W. Schwab et al.   NATURAL HAZARDS

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY

Comparison of Three GIS-Based Hydrological Models

(2008) Zhi-Jia Li et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Comparing landslide inventory maps

(2007) Mirco Galli et al.   GEOMORPHOLOGY