Results 181 to 190 of about 8,395,195 (223)
Mapping shared and specific cortical after-effects of repetitive TMS on brain function. [PDF]
BMC MedLv Y +10 more
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Associations of occupational exposure to multiple heavy metals and metabolic syndrome among metal foundry workers: a cross‑sectional study. [PDF]
BMC Endocr DisordFouad MM +6 more
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Recent cloud trends and extremes reaffirm moderate climate sensitivity
Zelinka M +9 more
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Modeling Soil Moisture from Multisource Data by Stepwise Multilinear Regression: An Application to the Chinese Loess Plateau [PDF]
ISPRS International Journal of Geo-Information, 2021 This study aims to integrate multisource data to model the relative soil moisture (RSM) over the Chinese Loess Plateau in 2017 by stepwise multilinear regression (SMLR) in order to improve the spatial coverage of our previously published RSM. First, 34 candidate variables (12 quantitative and 22 dummy variables) from the Moderate Resolution Imaging ...
Long Li, Lina Yuan, Longqian Chen
exaly +5 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
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
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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
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, Serpil Edebali
exaly +3 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