Comparison of multi-criteria and artificial intelligence models for land-subsidence susceptibility zonation

Genetic algorithm hybridized with multilayer perceptron to have an economical slope stability design

(2020) Hong Wang et al.   ENGINEERING WITH COMPUTERS

Assessing the Importance of Static and Dynamic Causative Factors on Erosion Potentiality Using SWAT, EBF with Uncertainty and Plausibility, Logistic Regression and Novel Ensemble Model in a Sub-tropical Environment

(2020) Rabin Chakrabortty et al.   Journal of the Indian Society of Remote Sensing

Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)

(2020) Alireza Arabameri et al.   Remote Sensing

Modeling and analysis of cascading node-link failures in multi-sink wireless sensor networks

(2020) Xiuwen Fu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Machine-learning algorithms for predicting land susceptibility to dust emissions: The case of the Jazmurian Basin, Iran

(2020) Hamid Gholami et al.   Atmospheric Pollution Research

Land subsidence susceptibility mapping using analytical hierarchy process (AHP) and Certain Factor (CF) models at Neyshabur plain, Iran

(2020) Mohsen Rezaei et al.   Geocarto International

Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin’anjiang River in Huangshan, China

(2020) Wenjie Yang et al.   International Journal of Environmental Research and Public Health

Parameter Adjustment Strategy and Experimental Development of Hydraulic System for Wave Energy Power Generation

(2020) Wei Zhang   Symmetry-Basel

Automatically Processing IFC Clipping Representation for BIM and GIS Integration at the Process Level

(2020) Junxiang Zhu et al.   Applied Sciences-Basel

Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement

(2020) Jiaming Qian et al.   APL Photonics

A comprehensive assessment framework for quantifying climatic and anthropogenic contributions to streamflow changes: A case study in a typical semi-arid North China basin

(2020) Ke Zhang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Coupling system dynamics analysis and risk aversion programming for optimizing the mixed noise-driven shale gas-water supply chains

(2020) Yizhong Chen et al.   JOURNAL OF CLEANER PRODUCTION

A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility

(2020) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Inclusive Multiple Models (IMM) for predicting groundwater levels and treating heterogeneity

(2020) Rahman Khatibi et al.   Geoscience Frontiers

A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain

(2020) Bin Cao et al.   IEEE NETWORK

Drought characteristics and its elevation dependence in the Qinghai–Tibet plateau during the last half-century

(2020) Wei Feng et al.   Scientific Reports

Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility

(2020) Alireza Arabameri et al.   Remote Sensing

A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

(2019) Khabat Khosravi et al.   JOURNAL OF HYDROLOGY

Modelling groundwater level variations by learning from multiple models using fuzzy logic

(2019) Ata Allah Nadiri et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities

(2019) Omid Rahmati et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Deep Learning: A Rapid and Efficient Route to Automatic Metasurface Design

(2019) Tianshuo Qiu et al.   Advanced Science

Land Subsidence Susceptibility Mapping Using Bayesian, Functional, and Meta-Ensemble Machine Learning Models

(2019) Hyun-Joo Oh et al.   Applied Sciences-Basel

Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials

(2019) Jian Zhou et al.   Applied Sciences-Basel

Spatially distributed crop model based on remote sensing

(2019) Congying Han et al.   AGRICULTURAL WATER MANAGEMENT

Integration of BIM and GIS: Geometry from IFC to shapefile using open-source technology

(2019) Junxiang Zhu et al.   AUTOMATION IN CONSTRUCTION

Ground observation-based analysis of soil moisture spatiotemporal variability across a humid to semi-humid transitional zone in China

(2019) Ke Zhang et al.   JOURNAL OF HYDROLOGY

Groundwater DRASTIC vulnerability mapping by unsupervised and supervised techniques using a modelling strategy in two levels

(2019) Ata Allah Nadiri et al.   JOURNAL OF HYDROLOGY

Land subsidence modelling using tree-based machine learning algorithms

(2019) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Land subsidence susceptibility assessment using random forest machine learning algorithm

(2019) Majid Mohammady et al.   Environmental Earth Sciences

Non-fragile memory filtering of T-S fuzzy delayed neural networks based on switched fuzzy sampled-data control

(2019) Kaibo Shi et al.   FUZZY SETS AND SYSTEMS

Assessment of land subsidence susceptibility in Semnan plain (Iran): a comparison of support vector machine and weights of evidence data mining algorithms

(2019) Majid Mohammady et al.   NATURAL HAZARDS

Evaluating the global potential of aquifer thermal energy storage and determining the potential worldwide hotspots driven by socio-economic, geo-hydrologic and climatic conditions

(2019) Hongwei Lu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2019) Sevgen et al.   SENSORS

Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach

(2019) Junxiang Zhu et al.   AUTOMATION IN CONSTRUCTION

A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC

(2019) Tianyi Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility

(2019) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Vulnerability Indexing to Saltwater Intrusion from Models at Two Levels using Artificial Intelligence Multiple Model (AIMM)

(2019) Marjan Moazamnia et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Reducing Complexity of HEVC: A Deep Learning Approach

(2018) Mai Xu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning

(2018) Rasmus Houborg et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Ecological vulnerability assessment for ecological conservation and environmental management

(2018) Li He et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Game-based analysis of energy-water nexus for identifying environmental impacts during Shale gas operations under stochastic input

(2018) Li He et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFT

(2018) Ata Allah Nadiri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An interval matrix method used to optimize the decision matrix in AHP technique for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   Environmental Earth Sciences

Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM2.5

(2018) Yongming Xu et al.   ENVIRONMENTAL POLLUTION

Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks

(2018) Ata Allah Nadiri et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches

(2018) Omid Rahmati et al.   JOURNAL OF HYDROLOGY

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

A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping

(2018) Omid Ghorbanzadeh et al.   NATURAL HAZARDS

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms

(2018) Dieu Tien Bui et al.   SENSORS

Prioritization of effective factors in the occurrence of land subsidence and its susceptibility mapping using an SVM model and their different kernel functions

(2018) Sahar Abdollahi et al.   Bulletin of Engineering Geology and the Environment

Reliable asynchronous sampled-data filtering of T–S fuzzy uncertain delayed neural networks with stochastic switched topologies

(2018) Kaibo Shi et al.   FUZZY SETS AND SYSTEMS

Life cycle assessment of greenhouse gas emissions and water-energy optimization for shale gas supply chain planning based on multi-level approach: Case study in Barnett, Marcellus, Fayetteville, and Haynesville shales

(2017) Yizhong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling

(2017) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)

(2017) Ata Allah Nadiri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Congestive heart failure detection using random forest classifier

(2016) Zerina Masetic et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)

(2016) Iman Nasiri Aghdam et al.   Environmental Earth Sciences

Decision making for the selection of cloud vendor: An improved approach under group decision-making with integrated weights and objective/subjective attributes

(2016) Sen Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Optimal water resources management and system benefit for the Marcellus shale-gas reservoir in Pennsylvania and West Virginia

(2016) Xi Cheng et al.   JOURNAL OF HYDROLOGY

Geomorphological and Hydrological Effects of Subsidence and Land use Change in Industrial and Urban Areas

(2016) Robert Machowski et al.   LAND DEGRADATION & DEVELOPMENT

Semantic segmentation of images exploiting DCT based features and random forest

(2016) D. Ravì et al.   PATTERN RECOGNITION

Modeling surface water-groundwater interaction in arid and semi-arid regions with intensive agriculture

(2015) Yong Tian et al.   ENVIRONMENTAL MODELLING & SOFTWARE

ANN modelling of sediment concentration in the dynamic glacial environment of Gangotri in Himalaya

(2015) Nandita Singh et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Disadvantages of using the area under the receiver operating characteristic curve to assess imaging tests: A discussion and proposal for an alternative approach

(2015) Steve Halligan et al.   EUROPEAN RADIOLOGY

Transport of intensity phase retrieval and computational imaging for partially coherent fields: The phase space perspective

(2015) Chao Zuo et al.   OPTICS AND LASERS IN ENGINEERING

Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

(2015) V. Rodriguez-Galiano et al.   ORE GEOLOGY REVIEWS

Supervised committee machine with artificial intelligence for prediction of fluoride concentration

(2015) Ata Allah Nadiri et al.   JOURNAL OF HYDROINFORMATICS

Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia

(2014) Zahrul Umar et al.   CATENA

Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS

(2014) Biswajeet Pradhan et al.   NATURAL HAZARDS

Application of InSAR and GIS Techniques to Ground Subsidence Assessment in the Nobi Plain, Central Japan

(2014) Minxue Zheng et al.   SENSORS

Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation

(2014) Gokmen Tayfur et al.   WATER RESOURCES MANAGEMENT

A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

(2013) Omar F. Althuwaynee et al.   CATENA

High-speed three-dimensional shape measurement for dynamic scenes using bi-frequency tripolar pulse-width-modulation fringe projection

(2013) Chao Zuo et al.   OPTICS AND LASERS IN ENGINEERING

Land subsidence in central Mexico detected by ALOS InSAR time-series

(2013) Estelle Chaussard et al.   REMOTE SENSING OF ENVIRONMENT

Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping

(2012) Inhye Park et al.   COMPUTERS & GEOSCIENCES

Spatial Prediction of Ground Subsidence Susceptibility Using an Artificial Neural Network

(2011) Saro Lee et al.   ENVIRONMENTAL MANAGEMENT

Impact of water withdrawals from groundwater and surface water on continental water storage variations

(2011) P. Döll et al.   JOURNAL OF GEODYNAMICS

Using and comparing two nonparametric methods (CART and MARS) to model the potential distribution of gullies

(2009) Álvaro Gómez Gutiérrez et al.   ECOLOGICAL MODELLING

Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia

(2009) Biswajeet Pradhan et al.   Landslides