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USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION
flood risk data Machine Learning Prediction
2018/4/18
Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate.
The prediction of flood incoming is a key factor to ensure c...
USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION
flood risk data Machine Learning Prediction
2018/5/8
Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate.
The prediction of flood incoming is a key factor to ensure c...
A MULTIVARIATE REGRESSION ANALYSIS FOR DERIVING ENGINEERING PARAMETERS OF EXPANSIVE SOILS FROM SPECTRAL REFLECTANCE
Expansive soils PLSR spectroscopy engineering parameters absorption feature parameters
2016/1/3
Soil expansiveness is a major problem that need due attention in geotechnical investigations. It can detrimentally influence performance and life time of lightweight engineering infrastructures. For t...
USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA
Land Use Change Data Mining Multivariate Adaptive Regression Spline Artificial Neural Network Receiver Operating Characteristic
2016/1/15
Land use change (LUC) models used for modelling urban growth are different in structure and performance. Local models divide the data into separate subsets and fit distinct models on each of the subse...
Multivariate Visualization of Data Quality Elements for Coastal Zone Monitoring
GIS coast monitoring identification
2015/7/9
Broad sandy beaches and extensive dune ridges dominate the Dutch coastal zone. The beach areas are subject to continuous
processes as beach erosion and sedimentation, which influence its morphology. ...
Application of multivariate regression methods to predict sensory quality of red wines
PLS regression sensory attributes phenolic parameters
2015/5/18
Several multivariate methods including partial least squares (PLS) regression, principal component regression (PCR) or multiple linear regression (MLR) have been applied to predict wine quality, based...
APPLICATION OF MULTIVARIATE STATISTICS TO STUDY STREAM SEDIMENT DATA FROM THE VICINITY OF LEAD-ZINC OCCURRENCES AT GABAL-RUSAS AREA, EASTERN DESERT,EGYPT
Stream Sediment Survey Lead-Zinc Multivariate Statistics Egypt
2015/2/4
Sixty-seven stream sediment samples were collected in the vicinity of the Miocene Lead-Zinc
occurrences near Gabal El-Rusas Area, and analyzed for their Pb, Zn, Cu, Ni, Co, Mn and Fe contents.
In th...
A Nondestructive Method for Fish Freshness Determination with Electronic Tongue Combined with Linear and Non-linear Multivariate Algorithms
fish quality taste sensors nondestructive detection
2014/11/28
Electronic tongue coupled with linear and non-linear multivariate algorithms was attempted to address the drawbacks
of fish freshness detection. Parabramis pekinensis fish samples stored at 4°C were...
GEOMETRIC REASONING IN 3D BUILDING MODELS USING MULTIVARIATE POLYNOMIALS AND CHARACTERISTIC SETS
geometric reasoning constraints theorem proving Wu’s method multivariate polynomials 3D building models
2014/10/16
In order to generate complex virtual cities, models of buildings have to be defined in advance. A common approach describes individual components of these buildings, which are in turn restricted by ge...
GEOMETRIC REASONING IN 3D BUILDING MODELS USING MULTIVARIATE POLYNOMIALS AND CHARACTERISTIC SETS
geometric reasoning constraints theorem proving Wu’s method multivariate polynomials 3D building models
2014/10/16
In order to generate complex virtual cities, models of buildings have to be defined in advance. A common approach describes individual components of these buildings, which are in turn restricted by ge...
Multivariate statistical methods as a tool of financial analysis of farm businesses
financial analysis financial ratios multivariate statistical methods correlation analysis discriminant analysis cluster analysis
2014/3/26
The paper is focused on the evaluation of the possibilities of analysing the relations between economic and financial indicators of farm businesses by the application of multivariate statistical metho...
Multivariate analysis of wheat flour dough sugars, gas production, and dough development at different fermentation times
rheofermentometer yeast fermentable sugars Principal Component Analysis HPLC
2014/2/24
A Principal Component Analysis method based on multivariate analysis was used to evaluate the correlation between the fermentable sugar content of dough and its behaviour during fermentation at differ...
Multivariate and Multiscale Data Assimilation in Terrestrial Systems: A Review
data assimilation multiscale multivariate modeling Ensemble Kalman Filter Particle Filter variational methods
2013/9/2
More and more terrestrial observational networks are being established to monitor climatic, hydrological and land-use changes in different regions of the World. In these networks, time series of state...
Explaining state-to-state differences in seat belt use: A multivariate analysis of cultural variables
FARS data Logistic regression Multiple regression Socio-demographic variables
2012/4/26
There is considerable variation in seat belt use within the United States despite extensive evidence that the use of seat belts saves lives. Previous studies have identified some important factors tha...
Multivariate Chemometric Analysis of a Polluted River of a Megalopolis
Surface Water Water Pollution Chemometric Multivariate Statistic
2013/3/12
A chemometrical study regarding a 10-years water quality monitoring plan at 15 sampling points along a section of the Reconquista River and its stream channels, which embraces 21 campaigns, is present...