Results 11 to 20 of about 12,024 (199)

Precipitation Modeling of Gwadar Port Baluchistan for Environmental Sustainability using Multilinear Regression Analysis Technique

open access: diamondNUST Journal of Social Sciences and Humanities, 2023
Precipitation is the main source of fresh water in the water cycle. Climate change, because of global warming and the consequent change in the water cycle, is a global security issue. It would significantly influence water and food security. Disasters such as floods and droughts would lead to an adverse effect on the economy, peace, and geo-political ...
Erum Aamir, Farah Naz, Fasiha Safdar
  +6 more sources

Modeling Soil Moisture from Multisource Data by Stepwise Multilinear Regression: An Application to the Chinese Loess Plateau [PDF]

open access: goldISPRS 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
openalex   +4 more sources

Forecast for the Cameroon’s Residential Electricity Demand Based on the Multilinear Regression Model

open access: diamondEnergy and Power Engineering, 2020
The electricity needs of populations in Cameroon are increasing and are still very inadequate. Companies, public buildings and households are facing frequent blackout which constrain development and social well-being. Therefore, the present work tried to forecast the electricity demand in the residential sector in Cameroon, in order to contribute ...
Serge Guefano   +3 more
openalex   +3 more sources

PATH LOSS PREDICTION BASED ON MACHINE LEARNING TECHNIQUES: SUPPORT VECTOR MACHINE, ARTIFICIAL NEURAL NETWORK, AND MULTILINEAR REGRESSION MODEL

open access: diamondOpen Journal of Physical Science (ISSN: 2734-2123), 2022
The rapid progress in fairness, transparency, and reliability is inextricably linked to Nigeria's rise as one of the continent's leading telecom markets. Path loss has been one of the key issues in providing high-quality service in the telecommunications industry.
Joshua Idogho, Gilbert George
openalex   +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]

open access: yesFrontiers 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

The Use of Multilinear Regression Models in Patterned Waterfloods: Physical Meaning of the Regression Coefficients

open access: green, 2005
One of the reservoirs engineer's mission is to predict the behavior of hydrocarbon producing assets. Once this ability is developed he/she will try to manage tbe ''today" to maximize the future economic return of the asset. However, the techniques to predict future performance vary from an educated guess of an appropriate analogy to very complex ...
Pablo Gentil
openalex   +3 more sources

Face Hallucination with Linear Regression Model in Semi-Orthogonal Multilinear PCA Method [PDF]

open access: diamondJournal of Physics: Conference Series, 2018
In this paper, we propose a new face hallucination technique, face images reconstruction in HSV color space with a semi-orthogonal multilinear principal component analysis method. This novel hallucination technique can perform directly from tensors via tensor-to-vector projection by imposing the orthogonality constraint in only one mode.
Krissada Asavaskulkiet
openalex   +2 more sources

Road Traffic Noise Predictions by means of L10 Modelling with a Multilinear Regression Calibrated on Simulated Data

open access: diamondInternational Journal of Mechanics, 2023
Estimation of road traffic noise is fundamental for the health of people living in urban areas, and it is usually assessed based on field-measured data. Real data may not always be available, anyway, and for this reason, predictive models play an important role in the evaluation and controlling of the noise impact.
Domenico Rossi   +2 more
openalex   +3 more sources

Comparison of Some Estimator Methods of Regression Mixed Model for the Multilinearity Problem and High – Dimensional Data

open access: diamondJournal of Electronics,Computer Networking and Applied Mathematics, 2023
In order to obtain a mixed model with high significance and accurate alertness, it is necessary to search for the method that performs the task of selecting the most important variables to be included in the model, especially when the data under study suffers from the problem of multicollinearity as well as the problem of high dimensions.
Thaer Hashim Abdul Muttaleb
  +5 more sources

Ratios determining of microenterprise profitability: an analysis based on multilinear regression models

open access: diamondData and Metadata
Introduction: to determine the best multilinear regression model(s) of the Return on Assets and the Return on Equity of microenterprises in the commune of San Bernardo de Santiago de Chile; to strengthen their competitiveness in the industry, contributing to the strengthening of public policy in the sector, the source of information was the Mayor's ...
Luis Pedro Román-Palma   +3 more
openalex   +3 more sources

Home - About - Disclaimer - Privacy