Results 31 to 40 of about 3,471 (207)
Multilinear Regression Model for Biogas Production Prediction from Dry Anaerobic Digestion of OFMSW
Sustainability, 2022 The aim of this study was to develop a multiple linear regression (MLR) model to predict the specific methane production (SMP) from dry anaerobic digestion (AD) of the organic fraction of municipal solid waste (OFMSW). A data set from an experimental test on a pilot-scale plug-flow reactor (PFR) including 332 observations was used to build the model ...
Elena Rossi +2 more
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Exploring Regression Models: Applications and Purposes of Linear, Logistic, and Polynomial Approaches in Engineering and Technologies [PDF]
EPJ Web of ConferencesRegression analysis is a vital data-driven technique for examining variable relationships and predicting outcomes. It allows researchers to identify how independent variables influence a dependent variable, enabling predictions, trend analysis, and ...
Nair Anjali, Shende Priti C.
doaj +1 more source
Monthly Rainfall Estimation Using Data-Mining Process
Applied Computational Intelligence and Soft Computing, 2012 It is important to accurately estimate rainfall for effective use of water resources and optimal planning of water structures. For this purpose, the models were developed to estimate rainfall in Isparta using the data-mining process.
Özlem Terzi
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Regressive-stochastic models for predicting water level in Lake Urmia [PDF]
, 2021 This study develops a set of models to investigate the water budget of Lake Urmia in Iran, a permanent hypersaline lake that has suffered a declining water level since the late 1990s.
Vaheddoost, Babak, Aksoy, Hafzullah
core +1 more source
AUTEX Research Journal, 2020 This work deals with prediction of the quantities of sewing threads required to sew a garment using cover stitches for the different classes of 600 (602, 605 and 607 cover stitches) by performing a rapid and precise methods (Geometrical and statistical).
Sarah Malek +2 more
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Speed-Flow-Geometric Relationship for Urban Roads Network
Applied Sciences, 2022 Speed on the urban roads is significantly affected by the surrounding geometric and traffic parameters. Based on this fact, we ascertained the impact of the geometric and traffic parameters on the average travel speed of the urban roads network.
Tareq M. Al-Bahr +4 more
doaj +1 more source
Mathematics, 2021 This study considers the usage of multilinear regression and artificial neural network modelling to forecast ozone concentrations with regard to weather-related indicators (wind speed, wind direction, relative humidity and temperature). Initial data were
Svajone Bekesiene +2 more
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Heliyon, 2019 This work evaluates near-infrared (NIR) spectroscopy coupled with chemometric tools for determining the superficial content of citral (SCCt) on microparticles. To perform this evaluation, using spray drying, citral was encapsulated in a matrix of dextrin
Ives Yoplac +4 more
doaj +1 more source
Applied Sciences, 2022 To make full use of the massive monitoring data accumulated in China high-speed railways, an improved statistical process control (SPC) framework was introduced to analyze the discontinuous monitoring data of the track system on a high-speed railway ...
Yanrong Zhang +4 more
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Scientific Reports, 2023 The investigation compares the conventional, advanced machine, deep, and hybrid learning models to introduce an optimum computational model to assess the ground vibrations during blasting in mining projects.
Shahab Hosseini +8 more
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