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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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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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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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IEEE Access, 2022 This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations based on function point analysis.
Huynh Thai Hoc +3 more
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Financial Data Quality Evaluation Method Based on Multiple Linear Regression
Future Internet, 2023 With the rapid growth of customer data in financial institutions, such as trusts, issues of data quality have become increasingly prominent. The main challenge lies in constructing an effective evaluation method that ensures accurate and efficient ...
Meng Li, Jiqiang Liu, Yeping Yang
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Chemometric analysis of metal contents in different types of chocolates [PDF]
Acta Periodica Technologica, 2014 The relationships between the contents of various metals (Cu, Ni, Pb and Al) in 38 different milk chocolate samples were studied using a chemometric approach.
Jevrić Lidija R. +3 more
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