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Multivariate Adaptive sentence examples within artificial neural network



Prediction of Soil-Water Characteristic Curves using two Artificial Intelligent (AI) Models and AI Aid Design Method for Sands



Rock-chemistry-to-mineral-properties conversion: machine learning approach


Multivariate Adaptive sentence examples within support vector machine



Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs



Mapping the geogenic radon potential for Germany by machine learning.


Multivariate Adaptive sentence examples within gene expression programming



Prediction of rainfall time series using soft computing techniques



Pipe Break Rate Assessment While Considering Physical and Operational Factors: A Methodology Based on Global Positioning System and Data Driven Techniques




Multivariate Adaptive sentence examples within extreme gradient boosting



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



Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.


Multivariate Adaptive sentence examples within regression splines model



MARS model for prediction of short- and long-term global solar radiation



Main Factors Affecting Mechanical Characteristics of Silicon Carbide Sludge-Based Geopolymer Revealed by Experimental Design and Associated Statistical Analysis


Multivariate Adaptive sentence examples within multiple linear regression



Improving Radar-Based Rainfall Forecasts by Long Short-Term Memory Network in Urban Basins



Predicting water quality variability in a Mediterranean hypereutrophic monomictic reservoir using Sentinel-2 MSI: the importance of model functional form


Multivariate Adaptive sentence examples within boosted regression tree



Modeling and Prediction of Habitat Suitability for Ferula gummosa Medicinal Plant in a Mountainous Area



Spatial modeling of susceptibility to subsidence using machine learning techniques


Multivariate Adaptive sentence examples within support vector regression



Implementing and evaluating various machine learning models for pipe burst prediction



Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression


Multivariate Adaptive sentence examples within extreme learning machine



Uncertainty analysis of monthly river flow modeling in consecutive hydrometric stations using integrated data-driven models



Prediction of daily chlorophyll-a concentration in rivers by water quality parameters using an efficient data-driven model: online sequential extreme learning machine


Multivariate Adaptive sentence examples within fuzzy inference system



Machine learning-assisted distinct element model calibration: ANFIS, SVM, GPR, and MARS approaches



Daily scale evapotranspiration prediction over the coastal region of southwest Bangladesh: new development of artificial intelligence model


Multivariate Adaptive sentence examples within four machine learning



Performance Evaluation of Machine Learning Algorithms for Seismic Retrofit Cost Estimation Using Structural Parameters



New formulation for predicting soil moisture content using only soil temperature as predictor: multivariate adaptive regression splines versus random forest, multilayer perceptron neural network, M5Tree, and multiple linear regression


Multivariate Adaptive sentence examples within conventional soft computing



Prediction of rock strain using soft computing framework



Estimation of diaphragm wall deflections for deep braced excavation in anisotropic clays using ensemble learning


Multivariate Adaptive sentence examples within response surface method



Potential efficacy and application of a new statistical meta based-model to predict TBM performance



Towards a Comprehensive Assessment of Statistical versus Soft Computing Models in Hydrology: Application to Monthly Pan Evaporation Prediction


Multivariate Adaptive sentence examples within gradient boosting machine



Estimation of modified expansive soil CBR with multivariate adaptive regression splines, random forest and gradient boosting machine



Comparison of Ensemble Machine Learning Methods for Soil Erosion Pin Measurements


Multivariate Adaptive sentence examples within multi layer perceptron



Predictive modelling of piezometric head and seepage discharge in earth dam using soft computational models



Prediction of ground vibration intensity in mine blasting using the novel hybrid MARS–PSO–MLP model


Multivariate Adaptive sentence examples within generalized linear model



A Predictive Analysis of Wall Stress in Abdominal Aortic Aneurysms Using a Neural Network Model.



Spatial variation in lymphatic filariasis risk factors of hotspot zones in Ghana


Multivariate Adaptive sentence examples within computing techniques namely



Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions



Prediction of aeration efficiency of Parshall and Modified Venturi flumes: application of soft computing versus regression models


Multivariate Adaptive sentence examples within regression random forest



Diagnostic accuracy of swept source optical coherence tomography classification algorithms for detection of gonioscopic angle closure


Multivariate Adaptive sentence examples within relevance vector machine



Determination of reliability index of cantilever retaining wall by RVM, MPMR and MARS


Multivariate Adaptive sentence examples within Namely Multivariate Adaptive



Pipe Break Rate Assessment While Considering Physical and Operational Factors: A Methodology Based on Global Positioning System and Data Driven Techniques



Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions


Multivariate Adaptive sentence examples within Called Multivariate Adaptive



Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation



Coupling Multivariate Adaptive Regression Spline (MARS) and Random Forest (RF): A Hybrid Feature Selection Method in Action


Multivariate Adaptive sentence examples within Ensemble Multivariate Adaptive



An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines



An ensemble method to reconstruct gene regulatory networks based on multivariate adaptive regression splines.


Multivariate Adaptive sentence examples within Use Multivariate Adaptive



Using multivariate adaptive regression splining (MARS) to identify factors affecting the performance of dock-based bikesharing: The case of Chicago’s Divvy system



Objective Evaluation of Speech Communication Jamming Effect based on Composite Evaluation


Multivariate Adaptive sentence examples within Bagged Multivariate Adaptive



Modeling of pan evaporation based on the development of machine learning methods



Comparison of Ensemble Machine Learning Methods for Soil Erosion Pin Measurements


Multivariate Adaptive sentence examples within Employed Multivariate Adaptive



The Heterogeneity of Longitudinal Cognitive Decline in Euthymic Bipolar I Disorder With Clinical Characteristics and Functional Outcomes



Prediction of Relative Humidity in a High Elevated Basin of Western Karakoram by Using Different Machine Learning Models


Multivariate Adaptive sentence examples within multivariate adaptive regression



Human resources optimization with MARS and ANN: Innovation geolocation model for generation Z



Predictive modelling of piezometric head and seepage discharge in earth dam using soft computational models


Multivariate Adaptive sentence examples within multivariate adaptive constructed



Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed



Impacts of Climate Change on Hydroclimatic Conditions of U.S. National Forests and Grasslands



Human resources optimization with MARS and ANN: Innovation geolocation model for generation Z



Ultimate axial capacity prediction of CCFST columns using hybrid intelligence models – a new approach



Monthly surface runoff prediction using artificial intelligence: A study from a tropical climate river basin



Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury



Pemodelan Faktor-Faktor yang Mempengaruhi Penyakit Tuberkulosis Menggunakan Metode Multivariate Adaptive Regression Spline (MARS) (Studi kasus Provinsi Jawa Barat, Jawa Timur dan Jawa Tengah tahun 2019)



Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed



Can TKA outcomes be predicted with computational simulation? Generation of a patient specific planning tool.



Identification of a Set of Variables for the Classification of Páramo Soils Using a Nonparametric Model, Remote Sensing, and Organic Carbon



Assessing GHG mitigation goals of INDCs (NDCs) considering socio-economic and environmental indicators of the parties



Exploring the Impact of Government Interventions on Covid-19 Pandemic Spread in Kuwait



Partial Least Squares Improved Multivariate Adaptive Regression Splines for Visible and Near-Infrared-Based Soil Organic Matter Estimation Considering Spatial Heterogeneity



Design of Computational Models for Hydroturbine Units Based on a Nonparametric Regression Approach with Adaptation by Evolutionary Algorithms



Determinants of Carrying Trade with Indian Rupee: Variables and Methods


More Multivariate Adaptive sentence examples
10.1016/j.foreco.2020.118690

Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data


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10.5194/EGUSPHERE-EGU21-6038

An Alternative Machine Learning-Based Methodology for H-SAF H35 Fractional Snow Cover Product



Prediction of Geosmin at Different Depths of Lake Using Machine Learning Techniques



Prediction of design parameters of pneumatic cleaners with MARS method



Suspended Sediment Modeling Using a Heuristic Regression Method Hybridized with Kmeans Clustering



Analysis of how the spatial and temporal patterns of fire and their bioclimatic and anthropogenic drivers vary across the Amazon rainforest in El Niño and non-El Niño years



MODELING THE LEVEL OF OPEN UNEMPLOYMENT IN CENTRAL JAVA WITH MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) APPROACH


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10.1109/JSTARS.2021.3075624

Fractional Vegetation Cover Estimation Algorithm Based on Recurrent Neural Network for MODIS 250 m Reflectance Data



Bond strength prediction of spliced GFRP bars in concrete beams using soft computing methods



Impacts of Climate Change on Hydroclimatic Conditions of U.S. National Forests and Grasslands



Determining the sensitive parameters of WRF model for the prediction of tropical cyclones in the Bay of Bengal using Global Sensitivity Analysis and Machine Learning



Large-Scale Modeling of Solum Thickness Based on the Local Topographic Attributes of Ground and Bedrock Surfaces



Mapping Susceptibility to Debris Flows Triggered by Tropical Storms: A Case Study of the San Vicente Volcano Area (El Salvador, CA)



Multivariate adaptive regression spline (MARS) methods with application to multi drug-resistant tuberculosis (MDR-TB) prevalence



Sparse regression modeling for short- and long‐term natural gas demand prediction



A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides



Evolution of infant mortality in Chile and how it has been reflected in scientific publications between 1980 and 2019.



Downscaled GCM climate projections of fire weather over Victoria, Australia. Part 2*: a multi-model ensemble of 21st century trends



Prediction of load-displacement performance of grouted anchors in weathered granites using FastICA-MARS as a novel model



A Novel Data-Adaptive Regression Framework Based on Multivariate Adaptive Regression Splines for Electrocardiographic Imaging.



Slope reliability analysis in spatially variable soils using sliced inverse regression-based multivariate adaptive regression spline


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10.1088/1742-6596/1863/1/012078

Modification of Multivariate Adaptive Regression Spline (MARS)


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10.1016/j.scitotenv.2021.147717

Appraising climate change impacts on future water resources and agricultural productivity in agro-urban river basins.



Optimization of probiotic therapeutics using machine learning in an artificial human gastrointestinal tract


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10.1016/j.coldregions.2020.103182

Assessing frost heave susceptibility of gravelly soils based on multivariate adaptive regression splines model



Near-optimal Nonlinear Regression Trees


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10.1016/J.ENERGY.2021.120090

Prediction of transportation energy demand: Multivariate Adaptive Regression Splines


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10.1088/1742-6596/1722/1/012094

Factors affecting the number of dengue fever cases in West Sumatra province using the Multivariate Adaptive Regression Splines (MARS) approach


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10.1088/1742-6596/1869/1/012135

Credit scoring model using MARS method to comply with FSA regulation


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10.1109/SPI52361.2021.9505207

A Multivariate Adaptive Sampling Scheme for Passivity Characterization of Parameterized Macromodels



A Data Mining Approach for Identifying Predictors of Student Retention from Sophomore to Junior Year



Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers



Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model


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