Landslide susceptibility mapping using deep learning models in Ardabil province, Iran
出版年份 2022 全文链接
标题
Landslide susceptibility mapping using deep learning models in Ardabil province, Iran
作者
关键词
-
出版物
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-06-29
DOI
10.1007/s00477-022-02263-6
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Application of novel ensemble models and k-fold CV approaches for Land subsidence susceptibility modelling
- (2021) Alireza Arabameri et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Flood hazard mapping in western Iran: assessment of deep learning vis-à-vis machine learning models
- (2021) Eslam Satarzadeh et al. NATURAL HAZARDS
- A tree-based intelligence ensemble approach for spatial prediction of potential groundwater
- (2020) Mohammadtaghi Avand et al. International Journal of Digital Earth
- Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
- (2020) Alireza Arabameri et al. Remote Sensing
- Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
- (2020) Guirong Wang et al. Symmetry-Basel
- Comparative study of landslide susceptibility mapping with different recurrent neural networks
- (2020) Yi Wang et al. COMPUTERS & GEOSCIENCES
- Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble
- (2020) Haoyuan Hong et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Optimizing an Adaptive Neuro-Fuzzy Inference System for Spatial Prediction of Landslide Susceptibility Using Four State-of-the-art Metaheuristic Techniques
- (2020) Mohammad Mehrabi et al. SENSORS
- Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping
- (2020) Zhice Fang et al. COMPUTERS & GEOSCIENCES
- A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm
- (2020) Deliang Sun et al. GEOMORPHOLOGY
- Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
- (2020) Phuong Thao Thi Ngo et al. Geoscience Frontiers
- Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model
- (2020) Azam Kadirhodjaev et al. ISPRS International Journal of Geo-Information
- Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
- (2019) Omid Ghorbanzadeh et al. Remote Sensing
- An Ensemble Model for Landslide Susceptibility Mapping in a Forested Area
- (2019) Alireza Arabameri et al. Geocarto International
- A relationship between displacement and tilting angle of the slope surface in shallow landslides
- (2019) Jiren Xie et al. Landslides
- Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
- (2019) Abolfazl Jaafari et al. CATENA
- GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China
- (2019) Yu Zhao et al. ENGINEERING GEOLOGY
- Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
- (2019) Yi Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Modelling carbon emission intensity: Application of artificial neural network
- (2019) Alex O. Acheampong et al. JOURNAL OF CLEANER PRODUCTION
- Artificial neural network ensembles applied to the mapping of landslide susceptibility
- (2019) L. Bragagnolo et al. CATENA
- Landslide spatial modelling using unsupervised factor optimisation and regularised greedy forests
- (2019) Maher Ibrahim Sameen et al. COMPUTERS & GEOSCIENCES
- Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach
- (2019) Kasun Bandara et al. EXPERT SYSTEMS WITH APPLICATIONS
- Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin
- (2019) Qiao Hu et al. GEOMORPHOLOGY
- Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
- (2019) Esmaeel Dodangeh et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques
- (2019) Yang Li et al. Water
- Spatial Prediction of Landslides Using Hybrid Integration of Artificial Intelligence Algorithms with Frequency Ratio and Index of Entropy in Nanzheng County, China
- (2019) Wei Chen et al. Applied Sciences-Basel
- GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques
- (2019) Xia Zhao et al. Applied Sciences-Basel
- Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping
- (2019) Yanli Wu 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
- Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
- (2018) Toshiaki Hirasawa et al. Gastric Cancer
- Pan-European landslide susceptibility mapping: ELSUS Version 2
- (2018) Martina Wilde et al. Journal of Maps
- Artificial neural networks used in optimization problems
- (2018) Gabriel Villarrubia et al. NEUROCOMPUTING
- Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
- (2018) Wei Chen 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
- Modification of landslide susceptibility mapping using optimized PSO-ANN technique
- (2018) Hossein Moayedi et al. ENGINEERING WITH COMPUTERS
- 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
- Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping
- (2018) Prima Kadavi et al. Remote Sensing
- 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 using Relative Frequency and Predictor Rate along Araniko Highway
- (2018) Tri Dev Acharya et al. KSCE Journal of Civil Engineering
- Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa
- (2018) Jean Baptiste Nsengiyumva et al. SCIENCE OF THE TOTAL ENVIRONMENT
- The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China
- (2017) Kaixiang Zhang et al. Environmental Earth Sciences
- Development of a landslide component for a sediment budget model
- (2017) Harley Betts et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification
- (2017) Emmanuel Maggiori et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Scene classification for aerial images based on CNN using sparse coding technique
- (2017) Abdul Qayyum et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study
- (2017) Emilio Guirado et al. Remote Sensing
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- Estimation of Curie point depths and heat flow from Ardebil province, Iran, using aeromagnetic data
- (2016) Allahyar Khojamli et al. Arabian Journal of Geosciences
- Landslide susceptibility mapping by geographical information system-based multivariate statistical and deterministic models: in an artificial reservoir area at Northern Turkey
- (2016) Aykut Akgun et al. Arabian Journal of Geosciences
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- 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
- 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
- Tien Shan Geohazards Database: Earthquakes and landslides
- (2015) H.B. Havenith et al. GEOMORPHOLOGY
- Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)
- (2015) Alessandro Trigila et al. GEOMORPHOLOGY
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Land suitability assessment for wind power plant site selection using ANP-DEMATEL in a GIS environment: case study of Ardabil province, Iran
- (2014) Ali Azizi et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
- (2013) Amar Deep Regmi et al. Arabian Journal of Geosciences
- 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
- Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information
- (2013) Matthew J. Cracknell et al. COMPUTERS & GEOSCIENCES
- A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis
- (2013) Bakhtiar Feizizadeh et al. COMPUTERS & GEOSCIENCES
- Assessment of rainfall-induced shallow landslide susceptibility using a GIS-based probabilistic approach
- (2013) Hyuck Jin Park et al. ENGINEERING GEOLOGY
- Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea
- (2012) Soyoung Park et al. Environmental Earth Sciences
- Landslide susceptibility mapping along road corridors in the Indian Himalayas using Bayesian logistic regression models
- (2012) Iswar Das et al. GEOMORPHOLOGY
- GIS-based ordered weighted averaging and Dempster–Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran
- (2012) Bakhtiar Feizizadeh et al. International Journal of Digital Earth
- Geologic, topographic and climatic controls in landslide hazard assessment using GIS modeling: A case study of Souk Ahras region, NE Algeria
- (2012) Riheb Hadji et al. QUATERNARY INTERNATIONAL
- A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey
- (2011) A. Yalcin et al. CATENA
- Uncertainty in the spatial prediction of soil texture
- (2011) Mareike Ließ et al. GEODERMA
- A recent scenario of mass wasting and its impact on the transportation in Alborz Mountains, Iran using geo-information technology
- (2010) Alireza Farrokhnia et al. Arabian Journal of Geosciences
- Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion
- (2010) Dario Grana et al. GEOPHYSICS
- Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
- (2010) H. A. Nefeslioglu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
- (2009) Işık Yilmaz Environmental Earth Sciences
- Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
- (2009) Biswajeet Pradhan et al. Environmental Earth Sciences
- 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
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