Results 1 to 10 of about 9,528 (141)

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

open access: yesAUTEX 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   +3 more
doaj   +3 more sources

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

open access: yesJournal 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   +1 more
doaj   +2 more sources

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

open access: yesApplied 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   +4 more
doaj   +4 more sources

The improvement of wavelet-based multilinear regression for suspended sediment load modeling by considering the physiographic characteristics of the watershed

open access: yesWater Science and Technology, 2023
The aim of this study is to model a relationship between the amount of the suspended sediment load by considering the physiographic characteristics of the Lake Urmia watershed. For this purpose, the information from different stations was used to develop
Niloofar Nejatian   +4 more
doaj   +4 more sources

Multilinear Regression Model to Estimate Mud Weight [PDF]

open access: yesNigerian Journal of Environmental Sciences and Technology, 2021
Estimation of mud weight poses a serious challenge to mud industries. In this study, a model was developed to tackle the problem of estimation of mud weight using multilinear regression techniques. The model was developed using data obtained from production records.
J. O. Oloro, T. E. Akhihiero
openaire   +1 more source

Optimization of Dataset Generation for a Multilinear Regressive Road Traffic Noise Model [PDF]

open access: yesWSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, 2023
According to the European Environmental Agency, road traffic noise is one of the worst and most prevalent kinds of environmental pollutants, which causes health problems to a constantly increasing number of people in urban areas throughout Europe. It has been proved that prolonged exposure to sound levels exceeding 55 dBA is harmful and causes severe ...
Rossi D., Mascolo A., Guarnaccia C.
openaire   +1 more source

Analysis of enterprise management technology and innovation based on multilinear regression model [PDF]

open access: yesApplied Mathematics and Nonlinear Sciences, 2021
Abstract With the continuous innovation of scientific research, technological level and social and economic development, the technological innovation of enterprises in the continuous management is also facing a new breakthrough and upgrade.
Fangfang Du   +2 more
openaire   +1 more source

Horizontal axis wind turbine modelling and data analysis by multilinear regression [PDF]

open access: yesMechanical Sciences, 2020
Abstract. The modelling of each horizontal axis wind turbine (HAWT) differs due to variation in operating conditions, dynamic parameters, and components. Thus, the choice of profiles also varies for specific applications. So for the better choice of profiles, the wind turbine performance is analysed for different parameters and working conditions.
Paulaiyan Tittus, Paul Mary Diaz
openaire   +3 more sources

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

open access: yesApplied 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   +4 more
doaj   +1 more source

Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution

open access: yesAdvances 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   +3 more
doaj   +1 more source

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