Results 31 to 40 of about 8,395,195 (223)
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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Multilinear regression analysis for Deviant behaviour.
, 2022 Multilinear regression analysis for Deviant behaviour.
Mihaela Tomiță (12908606) +4 more
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The loss value of multilinear regression [PDF]
, 2022 Determinant formulas are presented for: a certain positive semidefinite, hermitian matrix; the loss value of multilinear regression; the multiple linear regression coefficient.Comment: 4 pages. feedback from Elsevier incorporated. arXiv admin note: text
Kahl, Helmut
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International Journal of Mechanics, 2023 Estimation of road traffic noise is fundamental for the health of people living in urban areas, and it is usually assessed based on field-measured data. Real data may not always be available, anyway, and for this reason, predictive models play an important role in the evaluation and controlling of the noise impact.
Rossi D., Mascolo A., Guarnaccia C.
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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
doaj +1 more source
NUST Journal of Social Sciences and Humanities, 2023 Precipitation is the main source of fresh water in the water cycle. Climate change, because of global warming and the consequent change in the water cycle, is a global security issue. It would significantly influence water and food security. Disasters such as floods and droughts would lead to an adverse effect on the economy, peace, and geo-political ...
Erum Aamir, Farah Naz, Fasiha Safdar
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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
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
doaj +1 more source
Finite Mixtures of Generalized Linear Regression Models [PDF]
, 2007 Generalized linear models have become a standard technique in the statistical modelling toolbox for investigating relationships between variables.
Bettina Grün +3 more
core +1 more source
Dynamic Neural Regression Models [PDF]
, 2000 We consider sequential or online learning in dynamic neural regression models. By using a state space representation for the neural network' s parameter evolution in time we obtain approximations to the unknown posterior by either deriving posterior ...
Briegel, T., Tresp, V.
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