Results 171 to 180 of about 3,471 (207)
Mapping the spatial variability of rainfall from a physiographic-based multilinear regression: model development and application to the Southwestern Iberian Peninsula [PDF]
Environmental Monitoring and Assessment, 2022 A physiographic-based multilinear regression model supported by GIS was developed to estimate spatial rainfall variability in the Southwest Iberian Peninsula. The area study includes a wide diversity of landscape features and comprises four Portuguese regions and one Spanish province (totalizing 28,860 km2).
Veronica Ruiz-Ortiz +2 more
exaly +7 more sources
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Development of Multilinear Regression Models for Online Voltage Stability Margin Estimation
IEEE Transactions on Power Systems, 2011This paper investigates the use of reactive power reserves (RPR) as an indicator to estimate voltage stability margin (VSM) in an online environment. The methodology relies upon the relationship between system-wide RPRs and VSM. Statistical multilinear regression models (MLRM) are utilized in order to express how variations in RPRs can be transformed ...
Venkataramana Ajjarapu
exaly +2 more sources
Prediction of wastewater treatment plant performance using multilinear regression and artificial neural networks [PDF]
, 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA 2015) -- SEP 02-04, 2015 -- Madrid, SPAINIn this study, modeling of Konya wastewater treatment plant was studied by using multilinear regression and artificial neural ...
Abdullah Erdal Tümer
exaly +3 more sources
2023 27th International Conference on Circuits, Systems, Communications and Computers (CSCC), 2023
Quantitative evaluation of noise levels is of great importance for the overall evaluation of inhabited contexts. Road traffic noise is a pervasive kind of pollution, which causes health problems to people exposed to sound levels exceeding 55 dBA.
Domenico Rossi +2 more
openaire +2 more sources
Quantitative evaluation of noise levels is of great importance for the overall evaluation of inhabited contexts. Road traffic noise is a pervasive kind of pollution, which causes health problems to people exposed to sound levels exceeding 55 dBA.
Domenico Rossi +2 more
openaire +2 more sources
Journal of Electronics,Computer Networking and Applied Mathematics, 2023
In order to obtain a mixed model with high significance and accurate alertness, it is necessary to search for the method that performs the task of selecting the most important variables to be included in the model, especially when the data under study suffers from the problem of multicollinearity as well as the problem of high dimensions.
Thaer, Hashim, Abdulmuttaleb
openaire +2 more sources
In order to obtain a mixed model with high significance and accurate alertness, it is necessary to search for the method that performs the task of selecting the most important variables to be included in the model, especially when the data under study suffers from the problem of multicollinearity as well as the problem of high dimensions.
Thaer, Hashim, Abdulmuttaleb
openaire +2 more sources
Journal of Hydrologic Engineering - ASCE, 2013
Precipitation is the primary driver for hydrologic modeling. Because hydrologic models often require long-term, spatially dis- tributed precipitation data sets for calibration and validation, a novel approach was developed to generate spatially distributed precipitation data using an artificial neural network (ANN) for the periods when Next-Generation ...
Latif Kalin +2 more
exaly +2 more sources
Precipitation is the primary driver for hydrologic modeling. Because hydrologic models often require long-term, spatially dis- tributed precipitation data sets for calibration and validation, a novel approach was developed to generate spatially distributed precipitation data using an artificial neural network (ANN) for the periods when Next-Generation ...
Latif Kalin +2 more
exaly +2 more sources
Computers in Biology and Medicine, 2008
In this study, the performances of artificial neural network (ANN) analysis and multilinear regression (MLR) model-based estimation of heart rate were compared in an evaluation of individual cognitive workload. The data comprised electrocardiography (ECG) measurements and an evaluation of cognitive load that induces psychophysiological stress (PPS ...
Tomi Laitinen, Kerttu Huttunen
exaly +3 more sources
In this study, the performances of artificial neural network (ANN) analysis and multilinear regression (MLR) model-based estimation of heart rate were compared in an evaluation of individual cognitive workload. The data comprised electrocardiography (ECG) measurements and an evaluation of cognitive load that induces psychophysiological stress (PPS ...
Tomi Laitinen, Kerttu Huttunen
exaly +3 more sources
iPhone Sales Prediction Based on Multilinear Regression Model: Evidence from Statista
2023 IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE), 2023exaly +2 more sources
MIA-QSAR modelling of activities of a series of AZT analogues: bi- and multilinear PLS regression
Molecular Simulation, 2010The activities of a series of azidothymidine derivatives, compounds with anti-HIV potency, were computationally modelled using multivariate image analysis applied to quantitative structure–activity relationships (MIA-QSAR). Two regression methods were tested in order to find the best correlation between actual and predicted activities: bilinear ...
Goodarzi, Mohammad +1 more
openaire +2 more sources
2020
Education system is the most important aspect of any society as it directly affects employability. In today’s modern era the number of graduates is on rise but when we look at the rate of employability of these graduates it is very poor. In this paper, we try to understand IT graduate attributes by working on the database collected from aspiring minds (
Ankita Chopra, Madan Lal Saini
openaire +1 more source
Education system is the most important aspect of any society as it directly affects employability. In today’s modern era the number of graduates is on rise but when we look at the rate of employability of these graduates it is very poor. In this paper, we try to understand IT graduate attributes by working on the database collected from aspiring minds (
Ankita Chopra, Madan Lal Saini
openaire +1 more source