Discover more insights into Multivariate Adaptive 다변수 적응

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



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



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



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



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



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



Learning to rank by using multivariate adaptive regression splines and conic multivariate adaptive regression splines



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



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



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



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



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



Minimum temperature mapping augments Australian grain farmers’ knowledge of frost



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



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



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



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



Mapping the geogenic radon potential for Germany by machine learning.



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



Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models



Prediction of rainfall time series using soft computing techniques



Implementing and evaluating various machine learning models for pipe burst prediction



Prediction of rock strain using soft computing framework



Determinants of Carrying Trade with Indian Rupee: Variables and Methods



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



Early prediction of developing spontaneous activity in cultured neuronal networks



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



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



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



A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment



Environmental Odour Quantification by IOMS: Parametric vs. Non-Parametric Prediction Techniques



Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia



Prediction of design parameters of pneumatic cleaners with MARS method



A Multivariate Time-Series Based Approach for Quality Modeling in Wireless Networks



Prediction of hydraulics performance in drain envelopes using Kmeans based multivariate adaptive regression spline



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



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



Investigating the application of artificial intelligence for earthquake prediction in Terengganu



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


Learn more from Multivariate Adaptive 다변수 적응

Multivariate Adaptive 다변수 적응


Multivariate Adaptive 다변수 적응
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