Results 31 to 40 of about 12,024 (199)

Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution

Advances in Meteorology, 2022
The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu, Zhihua Zhang, M. James C. Crabbe, Lipon Chandra Das   +3 more
doaj   +1 more source

Prediction of California Bearing Ratio of Granular Soil by Multivariate Regression and Gene Expression Programming

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, Ibrahim Aldhari, Mohammed Saleh Alfawzan   +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, Sol García-Rodríguez, Diego Granados-López, Montserrat Díez-Mediavilla, Cristina Alonso-Tristán   +4 more
doaj   +1 more source

Added value of a multiparametric eddy-driven jet diagnostic for understanding European air stagnation

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, B Ayarzagüena, D Barriopedro, R García-Herrera   +3 more
doaj   +1 more source

QSPR/QSAR analysis of some eccentricity based topological descriptors of antiviral drugs used in COVID-19 treatment via Dε- polynomials

Mathematical Biosciences and Engineering, 2023
In the field of chemical and medical sciences, topological indices are used to study the chemical, biological, clinical, and therapeutic aspects of pharmaceuticals.
Deepalakshmi Sarkarai, Kalyani Desikan
doaj   +1 more source

Prediction of Sewing Thread Consumption for Over-Edge Stitches Class 500 Using Geometrical and Multi-Linear Regression Models

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, Adolphe Dominique C., Boubaker Jaouachi   +2 more
doaj   +1 more source

Prediction of Retention Indices and Response Factors of Oxygenates for GC-FID by Multilinear Regression

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, Markus Seifert, Oliver Busse, Jan J. Weigand   +3 more
doaj   +1 more source

Birth and early parenting during the COVID-19 pandemic: A cross-sectional study in the Austrian and German population

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, J. Preiß, W.R. Gruber, M. Angerer, M. Schabus   +4 more
doaj   +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, Georgios Aretoulis, Dimitrios Giannoulakis, Dimitrios Konstantinidis   +3 more
doaj   +1 more source

Multilinear tensor regression for longitudinal relational data [PDF]

, 2015
A fundamental aspect of relational data, such as from a social network, is the possibility of dependence among the relations. In particular, the relations between members of one pair of nodes may have an effect on the relations between members of another
Hoff, Peter D.
core   +2 more sources