Results 11 to 20 of about 9,528 (141)
Advances in Civil Engineering, 2022 This research demonstrates the results of an investigation into the California bearing ratio (CBR) of granular soils from Qassim region, Saudi Arabia, using multilinear regression (MLR), pure quadratic (PQ) models, and gene expression programming (GEP ...
Mudthir Bakri +2 more
doaj +1 more source
Extension of PAR Models under Local All-Sky Conditions to Different Climatic Zones
Applied Sciences, 2022 Four models for predicting Photosynthetically Active Radiation (PAR) were obtained through MultiLinear Regression (MLR) and an Artificial Neural Network (ANN) based on 10 meteorological indices previously selected from a feature selection algorithm.
Ana García-Rodríguez +4 more
doaj +1 more source
Environmental Research Letters, 2023 Air stagnation refers to an extended period of clear, stable conditions which can favour the accumulation of pollutants in the lower atmosphere.
J W Maddison +3 more
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AUTEX Research Journal, 2021 Rapid and precise methods (geometrical and statistical), which aim to predict the amount of sewing thread needed to sew a garment using different over-edge stitches of class 500 (501, 503, 504, 505, 512, 514, 515, and 516), have been provided.
Sarah Malek +2 more
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
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
openaire +3 more sources
Comprehensive Psychiatry, 2023 Background: During the COVID-19 pandemic, new mothers and their babies represent a particularly vulnerable group. This study investigates the effects of the pandemic on the pregnancy and childbirth experience, as well as on postnatal stress and ...
C. Florea +4 more
doaj +1 more source
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
openaire +1 more source
Cost and Material Quantities Prediction Models for the Construction of Underground Metro Stations
Buildings, 2023 This paper addresses the gap in the scientific literature regarding construction cost estimates for the construction of underground metro stations. It provides preliminary cost estimation models using linear regression for use by the Greek underground ...
Fani Antoniou +3 more
doaj +1 more source