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738 articles for “Modeling”
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Research ArticleOpen accessEvery word in the titleStatistical Modeling of Temperature Extremes Behaviour in GhanaTwumasi-Ankrah Sampson, Nyantakyi Agyei KwadwoThis paper focuses on modeling the extreme maximum temperature in Ghana using the extreme value theory. This is to inform decision-makers to help them plan appropriate risk mitigating measures to reduce the damage caused by drought. The block maxima with Generalized Extreme Value (GEV) and the General Pareto (GP) (with “all excesses” and decluster peaks) were used on 113 years … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 10 Jan 2019 · 7,117 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of Time Series Modeling to Study River Water QualityMaryam Ghashghaie, Kaveh Ostad-Ali-Askari, Saeid Eslamian, Vijay P. SinghWater deficit problem originates from two factors: population increase and water pollution. However, studying and forecasting the quality of water are necessary to avoid serious problems in future through managerial works. In present study, using time series modeling, the quality of Madian Rood River is studied at Baraftab station using time series analysis. Nine parameters of water quality are studied … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 25 Apr 2018 · 8,933 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGraph Coloring Program of Exam Scheduling Modeling Based on Bitwise Coloring Algorithm Using PythonSamsul Arifin, Indra Bayu Muktyas, Wikky Fawwaz Al Maki, Mohd Khairul Bazli Mohd AzizA graph coloring is the process of assigning labels to the vertices of a graph in such a way that no two adjacent vertices have the same color. The chromatic number of a graph G is the smallest number of colors that can be assigned to it. Graph coloring has a wide range of applications and is commonly used to … …Journal of Computer Science, Vol. 18, Issue 1 · 1 Feb 2022 · 9,702 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,125 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLeast Absolute Deviation Regression and Least Squares for Modeling Retention Indices of Set Compounds Food and Pollutants of the EnvironmentFatiha Mebarki, Khadija Amirat, Salima Ali Mokhnach, Djellol MessadiConsidering the importance of the statistical analysis of regression in modeling based separately on study for Quantitative structure retention indices on Carbowax 20 M (ICw20M) and OV-101 columns (IOV-101) relationships (QSRR) are determined for 114 pyrazines. The detection of influential observations for the standard least squares regression model is a problem which has been extensively studied. Least Absolute Deviation regression … …American Journal of Applied Sciences, Vol. 14, Issue 5 · 5 Jun 2017 · 7,424 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConceptual Modeling for Computer Organization and ArchitectureSabah Al-FedaghiUnderstanding computer system hardware, including how computers operate, is essential for undergraduate students in computer engineering and science. Literature shows students learning computer organization and assembly language often find fundamental concepts difficult to comprehend within the topic materials. Tools have been introduced to improve students’ comprehension of the interaction between computer architecture, assembly language and the operating system. One such … …Journal of Computer Science, Vol. 17, Issue 2 · 22 Feb 2021 · 8,913 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBiomimetic Finite Element Analysis Bone Modeling for Customized Hybrid Biological Prostheses DevelopmentAversa Raffaella, Florian Ion T. Petrescu, Relly Victoria V. Petrescu, Apicella AntonioThe human femur shows a high capacity to withstand external stresses and it is due to the mass distribution, morphology, and orthotropic behaviors of trabecular and cortical bone. Faithful modeling of the femur accounting for bone distribution and material orthotropic behavior is presented. The use of biofidel model is aimed to develop an "in silico" tool that could enable the … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 30 Nov 2016 · 8,980 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling Positive Time Series Data: A Neglected Aspect in Time Series CoursesMaman A. Djauhari, Lee Siaw Li, Rohayu Mohd SallehSomething has been forgotten in time series courses, in particular, when dealing with positive datasets. To describe the pattern hidden in this type of datasets, before we use a sophisticated method of modeling such as Autoregressive Integrated Moving Average (ARIMA), we propose to check first whether the data represent a Geometric Brownian Motion (GBM) process. If it is affirmative, unlike … …American Journal of Applied Sciences, Vol. 13, Issue 7 · 1 Jul 2016 · 7,533 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegrated Modeling Framework for Highway Traffic Pollution Estimation and DispersionShu Yang, Yao-Jan Wu, John WoolschlagerAir quality is of great concern to the public. Airborne pollutants, such as carbon monoxide (CO), carbon dioxide (CO2) and Particulate Matter (PM), negatively impact people’s living conditions. In particular, vehicular exhaust is a major source of these pollutants. Extensive previous research has contributed to modeling traffic pollutant emission. Popular approaches include computational simulation-based methods, which have been dominant in … …American Journal of Environmental Sciences, Vol. 12, Issue 3 · 13 May 2016 · 7,434 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATIONSutikno, Heri Kuswanto, Iis Dewi RatihRegression is commonly used to determine the relationship between the response variable and the predictor variable, where the parameters are estimated by Ordinary Least Square (OLS). This method can be used with an assumption that residuals are normally distributed (0, σ2). However, the assumption of normality of the data is often violated due to extreme observations, which are often found … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 4 Apr 2014 · 7,620 accessesView PDFCite