Results 11 to 20 of about 12,139 (206)
Water Science and Technology, 2023 The aim of this study is to model a relationship between the amount of the suspended sediment load by considering the physiographic characteristics of the Lake Urmia watershed. For this purpose, the information from different stations was used to develop
Niloofar Nejatian +4 more
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Multilinear Regression Model to Estimate Mud Weight [PDF]
Nigerian Journal of Environmental Sciences and Technology, 2021 Estimation of mud weight poses a serious challenge to mud industries. In this study, a model was developed to tackle the problem of estimation of mud weight using multilinear regression techniques. The model was developed using data obtained from production records.
J. O. Oloro, T. E. Akhihiero
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Optimization of Dataset Generation for a Multilinear Regressive Road Traffic Noise Model [PDF]
WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, 2023 According to the European Environmental Agency, road traffic noise is one of the worst and most prevalent kinds of environmental pollutants, which causes health problems to a constantly increasing number of people in urban areas throughout Europe. It has been proved that prolonged exposure to sound levels exceeding 55 dBA is harmful and causes severe ...
Rossi D., Mascolo A., Guarnaccia C.
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Analysis of enterprise management technology and innovation based on multilinear regression model [PDF]
Applied Mathematics and Nonlinear Sciences, 2021 Abstract With the continuous innovation of scientific research, technological level and social and economic development, the technological innovation of enterprises in the continuous management is also facing a new breakthrough and upgrade.
Fangfang Du +2 more
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Horizontal axis wind turbine modelling and data analysis by multilinear regression [PDF]
Mechanical Sciences, 2020 Abstract. The modelling of each horizontal axis wind turbine (HAWT) differs due to variation in operating conditions, dynamic parameters, and components. Thus, the choice of profiles also varies for specific applications. So for the better choice of profiles, the wind turbine performance is analysed for different parameters and working conditions.
Paulaiyan Tittus, Paul Mary Diaz
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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 ...
Lina Yuan +6 more
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Jurnal Kejuruteraan, 2021 Increased volumes of solid waste generation continue unabated due mainly to rapid population increase, urban migration, economic enhancements, and modern lifestyles. Two significant factors contributing directly to the higher volumes of solid waste generation are population and gross domestic product (GDP).
Faridah Zulkipli +3 more
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Data, 2022 The replacement of fossil carbon sources with green bio-oils promotes the importance of several hundred oxygenated hydrocarbons, which substantially increases the analytical effort in catalysis research. A multilinear regression is performed to correlate
Nils Kretzschmar +3 more
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Forecast for the Cameroon’s Residential Electricity Demand Based on the Multilinear Regression Model
Energy and Power Engineering, 2020 The electricity needs of populations in Cameroon are increasing and are still very inadequate. Companies, public buildings and households are facing frequent blackout which constrain development and social well-being. Therefore, the present work tried to forecast the electricity demand in the residential sector in Cameroon, in order to contribute ...
Serge Guefano +3 more
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A Bayesian Causal Model for Matrix-Valued Exposures With Applications to Radiotherapy Planning. [PDF]
Stat MedABSTRACT In radiotherapy for cancer, organs surrounding the target tumor, known as organs‐at‐risk (OARs), should be protected from excessive radiation to avoid toxicity. Radiation exposure to multiple OARs can be summarized using matrix‐valued dose‐volume histograms (DVH), and understanding the causal relationship between DVHs and toxicity outcomes can
Liu Z +6 more
europepmc +2 more sources