Related references
Note: Only part of the references are listed.Land subsidence risk assessment using GIS fuzzy logic spatial modeling in Varamin aquifer, Iran
Ghazaleh Mohebbi Tafreshi et al.
GEOJOURNAL (2021)
Developing new tree expression programing and artificial bee colony technique for prediction and optimization of landslide movement
Zhenyan Luo et al.
ENGINEERING WITH COMPUTERS (2020)
Risk analysis of health, safety and environment in chemical industry integrating linguistic FMEA, fuzzy inference system and fuzzy DEA
Mustafa Jahangoshai Rezaee et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2020)
Comparison of the gene expression programming, artificial neural network (ANN), and equivalent Muskingum inflow models in the flood routing of multiple branched rivers
Arash Pashazadeh et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2020)
A review on land subsidence caused by groundwater withdrawal in Xi'an, China
Ya-Qiong Wang et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Land subsidence lagging quantification in the main exploration aquifer layers in Beijing plain, China
Beibei Chen et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)
Modeling the sprinkler water distribution uniformity by data-driven methods based on effective variables
Saman Maroufpoor et al.
AGRICULTURAL WATER MANAGEMENT (2019)
Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities
Omid Rahmati et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2019)
Hydrodynamics of river-channel confluence: toward modeling separation zone using GEP, MARS, M5 Tree and DENFIS techniques
Ozgur Kisi et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2019)
Drought monitoring and prediction using SPEI index and gene expression programming model in the west of Urmia Lake
Abbas Abbasi et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2019)
Land Subsidence Susceptibility Mapping Using Bayesian, Functional, and Meta-Ensemble Machine Learning Models
Hyun-Joo Oh et al.
APPLIED SCIENCES-BASEL (2019)
Groundwater nitrate contamination in an area using urban wastewaters for agricultural irrigation under arid climate condition, southeast of Tehran, Iran
Zohre Nejatijahromi et al.
AGRICULTURAL WATER MANAGEMENT (2019)
A hybrid model for EEG-based gender recognition
Ping Wang et al.
COGNITIVE NEURODYNAMICS (2019)
Assessing the history-based predictability of regional monthly precipitation data using statistical and fuzzy methods
Alina Barbulescu et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2019)
Land subsidence susceptibility assessment using random forest machine learning algorithm
Majid Mohammady et al.
ENVIRONMENTAL EARTH SCIENCES (2019)
Ground Subsidence Susceptibility (GSS) Mapping in Grosseto Plain (Tuscany, Italy) Based on Satellite InSAR Data Using Frequency Ratio and Fuzzy Logic
Silvia Bianchini et al.
REMOTE SENSING (2019)
Land subsidence in Beijing and its relationship with geological faults revealed by Sentinel-1 InSAR observations
Leyin Hu et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)
Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation
Saeid Jamshidi et al.
PLANT METHODS (2019)
Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions
Sahar Abdollahi et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Comprehensive risk assessment of groundwater drawdown induced subsidence
Jonas Sundell et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2019)
Fuzzy-based approach for evaluating groundwater sustainability of Asian cities
Chanapathi Tirupathi et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
Development of an Uncertainty Based Model to Predict Land Subsidence Caused by Groundwater Extraction (Case Study: Tehran Basin)
Ali Ranjbar et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2019)
Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model
Danial S. Mohammadzadeh et al.
INFRASTRUCTURES (2019)
Inverse modeling of interbed parameters and transmissivity using land subsidence and drawdown data
Liangping Li et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2018)
A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS
Seyed Amir Naghibi et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2018)
Assessment of Land Subsidence and Climate Change Impacts on Inundation Hazard in Southwestern Taiwan
Hsiao-Wen Wang et al.
IRRIGATION AND DRAINAGE (2018)
The relation between land use and subsidence in the Vietnamese Mekong delta
P. S. J. Minderhoud et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2018)
Assessment of Social-Economic Risk of Chinese Dual Land Use System Using Fuzzy AHP
Hai-Min Lyu et al.
SUSTAINABILITY (2018)
A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping
Omid Ghorbanzadeh et al.
Journal of Spatial Science (2018)
A hybrid clustering-fusion methodology for land subsidence estimation
Narges Taravatrooy et al.
NATURAL HAZARDS (2018)
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
Dieu Tien Bui et al.
SENSORS (2018)
Qualitative zoning of groundwater to assessment suitable drinking water using fuzzy logic spatial modelling via GIS
Amin Mohebbi Tafreshi et al.
WATER AND ENVIRONMENT JOURNAL (2018)
Land subsidence phenomena investigated by spatiotemporal analysis of groundwater resources, remote sensing techniques, and random forest method: the case of Western Thessaly, Greece
Ioanna Ilia et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2018)
Landslide susceptibility mapping in an area of underground mining using the multicriteria decision analysis method
Deniz Arca et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2018)
A hybrid model to predict best answers in question answering communities
Dalia Elalfy et al.
EGYPTIAN INFORMATICS JOURNAL (2018)
Characterization and causes of land subsidence in Beijing, China
Beibei Chen et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2017)
Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model
Hamid Moeeni et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2017)
Flood estimation in ungauged catchments: application of artificial intelligence based methods for Eastern Australia
K. Aziz et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2017)
Quantification of parametric uncertainty of ANN models with GLUE method for different streamflow dynamics
Hakan Tongal et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2017)
Modeling daily reference ET in the karst area of northwest Guangxi (China) using gene expression programming (GEP) and artificial neural network (ANN)
Sheng Wang et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2016)
Land subsidence due to groundwater withdrawal in Arak plain, Markazi province, Iran
Ali M. Rajabi et al.
ARABIAN JOURNAL OF GEOSCIENCES (2016)
Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features
Onkar Singh et al.
BMC BIOINFORMATICS (2016)
Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam
Dieu Tien Bui et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2016)
Comparison of artificial intelligence methods and empirical equations to estimate daily solar radiation
Saeid Mehdizadeh et al.
JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS (2016)
Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression
Anh-Duc Pham et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)
Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran
Rahim Barzegar et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2016)
A model-based fuzzy set-OWA approach for integrated air pollution risk assessment
Baozhen Wang et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2015)
Soft computing for modeling punching shear of reinforced concrete flat slabs
Iyad Alkroosh et al.
AIN SHAMS ENGINEERING JOURNAL (2015)
Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system
Rafie Meraj et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2015)
PREDICTION OF UNSTEADY MIXED CONVECTION OVER CIRCULAR CYLINDER IN THE PRESENCE OF NANOFLUID- A COMPARATIVE STUDY OF ANN AND GEP
Prasenjit Dey et al.
JOURNAL OF NAVAL ARCHITECTURE AND MARINE ENGINEERING (2015)
Linear genetic programming application for successive-station monthly streamflow prediction
Ali Danandeh Mehr et al.
COMPUTERS & GEOSCIENCES (2014)
Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models
Vahid Nourani et al.
NATURAL HAZARDS (2014)
Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS
Biswajeet Pradhan et al.
NATURAL HAZARDS (2014)
Application of different data-driven methods for the prediction of total dissolved solids in the Zarinehroud basin
Sarvin Zaman Zad Ghavidel et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2014)
Vector machine techniques for modeling of seismic liquefaction data
Pijush Samui
AIN SHAMS ENGINEERING JOURNAL (2014)
Subsidence Hazard Assessment at the Samcheok Coalfield, South Korea: A Case Study Using GIS
Jangwon Suh et al.
ENVIRONMENTAL & ENGINEERING GEOSCIENCE (2013)
Composite Subsidence Vulnerability Assessment Based on an Index Model and Index Decomposition Method
Yu Chen et al.
HUMAN AND ECOLOGICAL RISK ASSESSMENT (2013)
Monthly pan evaporation modeling using linear genetic programming
Aytac Guven et al.
JOURNAL OF HYDROLOGY (2013)
A granular computing-based approach to credit scoring modeling
Morteza Saberi et al.
NEUROCOMPUTING (2013)
Neural Network Modelling of Tehran Land Subsidence Measured by Persistent Scatterer Interferometry
Maryam Dehghani et al.
PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION (2013)
Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping
Inhye Park et al.
COMPUTERS & GEOSCIENCES (2012)
Simulating pumping-induced regional land subsidence with the use of InSAR and field data in the Toluca Valley, Mexico
A. I. Calderhead et al.
ADVANCES IN WATER RESOURCES (2011)
Land subsidence in Tianjin, China
Yi Lixin et al.
ENVIRONMENTAL EARTH SCIENCES (2011)
Genetic-based modeling of uplift capacity of suction caissons
Amir Hossein Alavi et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Review: Regional land subsidence accompanying groundwater extraction
Devin L. Galloway et al.
HYDROGEOLOGY JOURNAL (2011)
Two hybrid Artificial Intelligence approaches for modeling rainfall-runoff process
Vahid Nourani et al.
JOURNAL OF HYDROLOGY (2011)
Neural network estimation of duration of strong ground motion using Japanese earthquake records
C. R. Arjun et al.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2011)
Integer programming model for Generation Expansion Planning problem under fuzzy environment
Samir A. Abass et al.
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT (2011)
Assessment of ground subsidence using GIS and the weights-of-evidence model
Hyun-Joo Oh et al.
ENGINEERING GEOLOGY (2010)
Effects of land-use changes on landslides in a landslide-prone area (Ardesen, Rize, NE Turkey)
F. Karsli et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2009)
Landfill site selection using spatial information technologies and AHP: A case study in Beijing, China
Wang Guiqin et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2009)
Prediction of friction capacity of driven piles in clay using the support vector machine
Pijush Samui
CANADIAN GEOTECHNICAL JOURNAL (2008)
Evaluation of the water quality at Tahtali dam watershed in Izmir-Turkey by means of statistical methodology
Hatim Elhatip et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2008)
Modelling the dynamics of the evapotranspiration process using genetic programming
Kamban Parasuraman et al.
HYDROLOGICAL SCIENCES JOURNAL (2007)
Land subsidence in Mashhad Valley, northeast Iran: Results from InSAR, levelling and GPS
Mahdi Motagh et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2007)
Delimitation of ground failure zones due to land subsidence using gravity data and finite element modeling in the Queretaro valley, Mexico
Jesus Pacheco et al.
ENGINEERING GEOLOGY (2006)
Another look at measures of forecast accuracy
Rob J. Hyndman et al.
INTERNATIONAL JOURNAL OF FORECASTING (2006)
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
CJ Willmott et al.
CLIMATE RESEARCH (2005)
Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications
L Ayalew et al.
ENGINEERING GEOLOGY (2005)
Review on current status and challenging issues of land subsidence in China
RL Hu et al.
ENGINEERING GEOLOGY (2004)
The influence of faults in basin-fill deposits on land subsidence, Las Vegas Valley, Nevada, USA
TJ Burbey
HYDROGEOLOGY JOURNAL (2002)
Terrain-based mapping of landslide susceptibility using a geographical information system: a case study
FC Dai et al.
CANADIAN GEOTECHNICAL JOURNAL (2001)
Share Paper
