Search Results - College of Computer Science and Mathematics, University of Mosul

Dynamical analysis and anti-synchronization of a new 6D model with self-excited attractors by Al-Azzawi, Saad Fawzi, Al-Obeidi, Ahmed S.

“…A novel 6D dissipative model with an unstable equilibrium point is introduced herein. Some of the dynamic characteristics of the proposed model were explored…”
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Construction of the Daubechies Wavelet Chart for Quality Control of the Single Value by Sakar Jalal, Dlshad Saleh, Bekhal Sedeeq, Taha Ali

“…In this paper, it was proposed to create a new quality control chart for the single value of the Daubechies wavelet to address the problem of data…”
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Classification of Circular Mass of Breast Cancer Using Artificial Neural Network vs. Discriminant Analysis in Medical Image Processing by Karzan Faidhi Hamad, Bulent Celik, Rizgar Maghded Ahmed

“…In recent years, there has been a notable increase in interest regarding intelligent classification techniques rooted in Machine Learning within the domain of…”
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Improved Mixed Estimator Using Two Auxiliary Variables For Full Extreme Maximum And Minimum Values In Single Phase Sampling by Timothy O. Olatayo, Peter N. Madu, Peter I. Ogunyinka

“…The use of multiple auxiliary variables has been established to improve precision in the estimators of ratio, regression and product respectively. However, the…”
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Estimating the Parameters of Mixture Gamma Distributions Using Maximum Likelihood and Bayesian Method by Nagham Ibrahim Abdulla Najm, Raya Salim Al_Rassam

“…This paper focuses on the mixture Gamma distribution and uses the maximum likelihood and Bayesian techniques to estimate its parameters. This study uses…”
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Variable selection in Logistic regression model using modified firefly algorithms by Heba Suleiman Dawood

“…The logistic regression model is considered the most widely used in many applications, and it is one of the main models in the family of generalized linear…”
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Classification of Diabetes Data Set from Iraq via Different Machine Learning Techniques by Dilshad Altalabani, Fevzi Erdogan

“…Diabetes has become one of the most prevalent diseases in Iraq and is listed as one of the leading causes of death. Machine learning provides effective…”
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Performance of Some Yang and Chang estimators in Logistic Regression Model by JAMES OLADAPO, k. Ayinde K. Ayinde

“…In logistic regression models, the maximum likelihood (ML) method is always one of the commonly used to estimate the model parameters. However, unstable…”
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Estimating the Transitional Probabilities of the E.Coli Gene Chain by Maximum Likelihood Method and Bayes Method by Alaa Farhan Ahmed, Muthanna Sulaiman

“…The transition matrix estimators of the Markov chain are not accurate and the transition matrix is considered given. There are many methods that are used to…”
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Robust Weighted Least Squares Method using different schemes of M-estimators (RWLSM), A comparative Study by Fatima M. Selevany, Bashar Al-Talib

“…In this research, it was reducing or excluding the effect of not satisfying the assumption of normal distribution of the data, due to the presence of types of…”
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The Implications of Discriminant Analysis Function in Classifying the Obesity of Childhood 15 in Egypt “An Applied Study on the Data of EDHS 2015 by Mohamed Elkhouli

“…In general, relatively few statistical studies have been published on the classification of obesity as a risk-based thinking in the childhood stage among the…”
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Use The Coiflets and Daubechies Wavelet Transform To Reduce Data Noise For a Simple Experiment by Mahmood Taher, Sabah Manfi Redha

“…In this research, a simple experiment in the field of agriculture was studied, in terms of the effect of out-of-control noise as a result of several reasons,…”
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Generalized ratio-cum-product type exponential estimation of the population mean in median ranked set sampling by Rikan .AL_Rahman, Saja Mohammad

“…This study presents a proposal to estimate the finite population's mean of the main variable by median ranked set sampling  through the generalized…”
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Comparison of prediction using Matching Pattern and state space models by heyam hayawi, najlaa saad

“…Predicting future behavior is one of the important topics in statistical sciences due to the need for it in different areas of life, and most countries rely on…”
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Heuristic Approaches for Solving bi-objective Single Machine Scheduling Problems by Hawzhin Salh, Ayad Ramadan

“…In this research paper, n jobs have to be scheduled on one-machine to minimize the sum of maximum earliness and maximum tardiness. We solved a series of…”
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Using ARIMA and Random Forest Models for Climatic Datasets Forecasting by Oday Aljuborey, Osamah Shukur

“…The climatic changes have important role which may lead to huge problems for the health of human and other organisms, therefore it is necessary to study and…”
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Study of the two-parameter Weibull distribution and Estimation of the scale and shape parameter application to the voltage data of the cement material (review) by Safwan Rashed, Farok Thafer, Ali Abdallah

“…Survival distributions are important and commonly used in different fields and the Weibull Distribution is one of these distributions that has a different…”
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Statistical Analysis of Ordinal Response Variable: A Comparative Study by Liqaa Alhamdany, Zaid Tariq Salah

“…Response variables in biological phenomena vary between three types: numerical response variables, ordinal categorical response variables, and nominal…”
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Application of Poisson's Hierarchical Regression Model to the Deaths of Covid-19 in Mosul City Hospitals by Ban Al ani, Mahmmood Altai

“…This research deals with the study of the partial hierarchical Poisson regression model (with a random intercept), where this model is one of the most…”
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Locally weighted regression for sunspots estimation and prediction by Ibtehal Fadel, Muzahem Al-Hashimi

“…Locally weighted regression (LOESS) is a modern non-parametric regression method designed for treating cases where classical procedures are not highly…”
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