Results 1 to 10 of about 8,395,195 (223)

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

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

open access: yesData, 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

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

open access: yesComprehensive 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

Cost and Material Quantities Prediction Models for the Construction of Underground Metro Stations

open access: yesBuildings, 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

Sewing Thread Consumption for Different Lockstitches of Class 300 Using Geometrical and Multi-Linear Regression Models

open access: yesAUTEX Research Journal, 2020
This paper aims to provide rapid and precise methods to allow industrials to predict the amount of sewing thread needed to sew a garment using different lockstitches of class 300 (301, 301/301, 304, 308, 309, 310, 311, 312, and 315).
Sarah Malek   +3 more
doaj   +1 more source

Exploring Regression Models: Applications and Purposes of Linear, Logistic, and Polynomial Approaches in Engineering and Technologies [PDF]

open access: yesEPJ Web of Conferences
Regression analysis is a vital data-driven technique for examining variable relationships and predicting outcomes. It allows researchers to identify how independent variables influence a dependent variable, enabling predictions, trend analysis, and ...
Nair Anjali, Shende Priti C.
doaj   +1 more source

Monthly Rainfall Estimation Using Data-Mining Process

open access: yesApplied Computational Intelligence and Soft Computing, 2012
It is important to accurately estimate rainfall for effective use of water resources and optimal planning of water structures. For this purpose, the models were developed to estimate rainfall in Isparta using the data-mining process.
Özlem Terzi
doaj   +1 more source

Determination of Sewing Thread Consumption for 602, 605, and 607 Cover Stitches Using Geometrical and Multi-Linear Regression Models

open access: yesAUTEX Research Journal, 2020
This work deals with prediction of the quantities of sewing threads required to sew a garment using cover stitches for the different classes of 600 (602, 605 and 607 cover stitches) by performing a rapid and precise methods (Geometrical and statistical).
Sarah Malek   +2 more
doaj   +1 more source

Speed-Flow-Geometric Relationship for Urban Roads Network

open access: yesApplied Sciences, 2022
Speed on the urban roads is significantly affected by the surrounding geometric and traffic parameters. Based on this fact, we ascertained the impact of the geometric and traffic parameters on the average travel speed of the urban roads network.
Tareq M. Al-Bahr   +4 more
doaj   +1 more source

Application of Statistical Process Control for Structural Health Monitoring of a High-Speed Railway Track System

open access: yesApplied Sciences, 2022
To make full use of the massive monitoring data accumulated in China high-speed railways, an improved statistical process control (SPC) framework was introduced to analyze the discontinuous monitoring data of the track system on a high-speed railway ...
Yanrong Zhang   +4 more
doaj   +1 more source

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