Results 1 to 10 of about 12,139 (206)

Ultraviolet Erythemal Irradiance (UVER) under Different Sky Conditions in Burgos, Spain: Multilinear Regression and Artificial Neural Network Models

Applied Sciences, 2023
Different strategies for modeling Global Horizontal UltraViolet Erythemal irradiance (GHUVE) based on meteorological parameters measured in Burgos (Spain) have been developed. The experimental campaign ran from September 2020 to June 2022.
S. García-Rodríguez, A. García-Rodríguez, D. Granados-López, I. García, C. Alonso-Tristán   +4 more
doaj   +7 more sources

Prediction of Compression Index of Marine clay Using Artificial Neural Network and Multilinear Regression Models [PDF]

Journal of Soft Computing in Civil Engineering, 2021
Compression Index (CI) is one of the frequently used soil parameters for the determination of possible settlement. In this study, the Compression Index of Marine clay is predicted using Artificial Neural network (ANN).
Ramachandiran Saisubramanian, V Murugaiyan   +1 more
doaj   +2 more sources

Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models [PDF]

AUTEX Research Journal, 2021
This work deals with determination of rapid and precise methods to predict the amount of sewing thread needed to sew a garment using different chain stitches of the class 400 (from 401 to 407 chain stitches).
Malek Sarah, Khedher Faouzi, Adolphe Dominique C., Jaouachi Boubaker   +3 more
doaj   +3 more sources

Computation of domination degree-based topological indices using python and QSPR analysis of physicochemical and ADMET properties for heart disease drugs [PDF]

Frontiers in Chemistry
Heart disease is a leading cause of death worldwide, highlighting the need for effective treatments for hypertension, arrhythmias, and high cholesterol.
Geethu Kuriachan, A. Parthiban
doaj   +2 more sources

Modeling Horizontal Ultraviolet Irradiance for All Sky Conditions by Using Artificial Neural Networks and Regression Models

Applied Sciences, 2023
In the present study, different models constructed with meteorological variables are proposed for the determination of horizontal ultraviolet irradiance (IUV), on the basis of data collected at Burgos (Spain) during an experimental campaign between March
M. I. Dieste-Velasco, S. García-Rodríguez, A. García-Rodríguez, M. Díez-Mediavilla, C. Alonso-Tristán   +4 more
doaj   +1 more source

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

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