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Estimating PM2.5 utilizing multiple linear regression and ANN techniques [PDF]
Scientific Reports, 2023 The accurate prediction of air pollutants, particularly Particulate Matter (PM), is critical to support effective and persuasive air quality management.
Sumita Gulati +5 more
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Using multiple linear regression to predict engine oil life [PDF]
Scientific ReportsThis paper deals with the use of multiple linear regression to predict the viscosity of engine oil at 100 °C based on the analysis of selected parameters obtained by Fourier transform infrared spectroscopy (FTIR).
Van Thai Nguyen +2 more
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Phase Unwrapping Error Correction Based on Multiple Linear Regression Analysis [PDF]
Sensors, 2023 Fringe projection profilometry (FPP) is prone to phase unwrapping error (PUE) due to phase noise and measurement conditions. Most of the existing PUE-correction methods detect and correct PUE on a pixel-by-pixel or partitioned block basis and do not make
Zhuang Lv +8 more
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Agriculture, 2022 In the state of Sinaloa, rainfall presents considerable irregularities, and the climate is mainly semiarid, which highlights the importance of studying the sensitivity of various indices of meteorological drought.
Llanes-Cárdenas Omar +5 more
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Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework
Logistics, 2023 Background: Finding trends in freight transportation activities enables businesses and policy makers to build an understanding of freight transportation patterns and their impact on logistics planning when making investments in a region’s transportation ...
Jamileh Yousefi +5 more
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Habitat, 2021 Kojama Shop is an online platform that markets avocado butter products. To win the competition, Kojama Shop must improve Electronic Word of Mouth (eWOM) by knowing the factors that form eWOM and their effect on purchases. This study aims to determine the
Siti Suciani Fitriah +2 more
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Multi-criteria approach to pair-multiple linear regression models constructing [PDF]
Известия Саратовского университета. Новая серия: Математика. Механика. Информатика, 2021 A pair-multiple linear regression model which is a synthesis of Deming regression and multiple linear regression model is considered. It is shown that with a change in the type of minimized distance, the pair-multiple regression model transforms smoothly
Bazilevskiy, Mikhail P.
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Behavioral Sciences, 2023 An incorrect posture can generate stress of the spine and can be the cause of musculoskeletal disorders. Considering the extensive use of the computer, which worsens posture disorders, among workers, is important to analyze the phenomenon in order to ...
Paolo Montuori +11 more
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A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation [PDF]
, 2020 Subset selection for multiple linear regression aims to construct a regression model that minimizes errors by selecting a small number of explanatory variables.
Cheong, Taesu +3 more
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Short Term Active Power Load Prediction on A 33/11 kV Substation Using Regression Models
Energies, 2021 Electric power load forecasting is an essential task in the power system restructured environment for successful trading of power in energy exchange and economic operation.
Venkataramana Veeramsetty +3 more
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