Using the artificial TABU algorithm to estimate the semi-parametric regression function with measurement errors

Ons E. Musa; Sabah M. Ridha

doi:10.1063/5.0126025

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Publication Date

Sun Jan 01 2023

Journal Name

Aip Conference Proceedings

DOI

10.1063/5.0126025

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Using the artificial TABU algorithm to estimate the semi-parametric regression function with measurement errors

Ons E. Musa

Sabah M. Ridha

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Artificial Intelligence Algorithms have been used in recent years in many scientific fields. We suggest employing artificial TABU algorithm to find the best estimate of the semi-parametric regression function with measurement errors in the explanatory variables and the dependent variable, where measurement errors appear frequently in fields such as sport, chemistry, biological sciences, medicine, and epidemiological studies, rather than an exact measurement.

Publication Date

Sun Nov 01 2020

Journal Name

2020 2nd Annual International Conference On Information And Sciences (aicis)

An Enhanced Multi-Objective Evolutionary Algorithm with Decomposition for Signed Community Detection Problem

Mayasa M.

Amenah Dahim

Baraa A.

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Mon Jan 01 2018

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Journal Of Engineering And Applied Sciences

Fuzzy KU-semi-groups and investigate some basic properties

E.

Fatema F.

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Publication Date

Wed Jan 01 2020

Journal Name

Italian Journal Of Pure And Applied Mathematics

Duality of St-closed submodules and semi-extending modules

CSt-closed submodules

St-closed submodules

Cosemi-essential submod- ules

semi-essential submodules

Cosemi-extending modules

semi-extending modules.

د.

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The main goal of this paper is to dualize the two concepts St-closed submodule and semi-extending module which were given by Ahmed and Abbas in 2015. These dualizations are called CSt-closed submodule and cosemi-extending mod- ule. Many important properties of these dualizations are investigated, as well as some others useful results which mentioned by those authors are dualized. Furthermore, the relationships of cosemi-extending and other related modules are considered.

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(2)

Publication Date

Thu Aug 03 2023

Journal Name

Journal Of Kufa For Mathematics And Computer

Category Theory and New Classes of Semi Bornological Group

Niran Sabah Jasim

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Publication Date

Sat Oct 01 2016

Journal Name

International Journal Of Pure And Apllied Mathematics

A SEMI ANALYTICAL ITERATIVE TECHNIQUE FOR SOLVING DUFFING EQUATIONS

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S.G.

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Sat Jul 01 2017

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Journal Of King Saud University - Science

A semi-analytical iterative technique for solving chemistry problems

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Publication Date

Thu Apr 14 2022

Journal Name

Nat. Volatiles & Essent. Oils,

Estimate The Amount of Amino and Fatty Acids in The Liver Tissue of Uromastyx Aegyptius Microlepis During the Periods of Hibernation (December) And Activity (May)

Jasim Mohammed

Saddama S.

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Amino and fatty acids in the liver tissue of Uromastyx aegyptius microlepis during the periods of hibernation (December) and activity (May) were estimate by a high performance liquid chromatography, liver of a lizard during the activity and hibernation seasons, contained 18 amino acids, which include, 10 essential amino acids and 8 non-essential amino acids, and the liver in the male lizard contained five fatty acids during each season, the concentration rates of all the amino acids during the activity season were higher than their counterparts during the hibernation season, the total concentrations of essential and non-essential amino acids during the activity season were 19434.8 µg/ml, which was greater than the total concentrations leve

Publication Date

Sun Dec 10 2023

Journal Name

Journal Of Applied Engineering And Technological Science (jaets)

The Role of Artificial Intelligence in Diagnosing Heart Disease in Humans: A Review

Electrocardiogram

Waves

Heartbeats

Diagnosing

Medical

Signal

Tamara Hameed Yousif

Mohammed

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The electrical activity of the heart and the electrocardiogram (ECG) signal are fundamentally related. In the study that has been published, the ECG signal has been examined and used for a number of applications. The monitoring of heart rate and the analysis of heart rhythm patterns, the detection and diagnosis of cardiac diseases, the identification of emotional states, and the use of biometric identification methods are a few examples of applications in the field. Several various phases may be involved in the analysis of electrocardiogram (ECG) data, depending on the type of study being done. Preprocessing, feature extraction, feature selection, feature modification, and classification are frequently included in these stages. Ever

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(3)

Publication Date

Thu Oct 01 2020

Journal Name

Journal Of Engineering Science And Technology (jestec)

Water Quality Assessment and Sodium Adsorption Ratio Prediction of Tigris River Using Artificial Neural Network

Artificial neural network (ANN)

Sodium adsorption ratio (SAR)

Tigris river

Water quality.

Basim H.

RAGHAD S.

ROAA A.

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Sodium adsorption ratio (SAR) is considered as a measure of the water suitability for irrigation usage. This study examines the effect of the physicochemical parameters on water quality and SAR, which included Calcium(Ca+2), Magnesium(Mg+2), Sodium (Na+), Potassium (K), Chloride (Cl-), Sulfate(SO4-2), Carbonate (CO3-2), Bicarbonate (HCO3-), Nitrate (NO3-), Total Hardness (TH), Total Dissolved Salts (TDS), Electrical Conductivity (EC), degree of reaction (DR), Boron (B) and the monthly and annually flow discharge (Q). The water samples were collected from three stations across the Tigris River in Iraq, which flows through Samarra city (upstream), Baghdad city (central) and the end of Kut city (downstream) for the periods of 2016-201

Publication Date

Tue Nov 09 2021

Journal Name

Abu Dhabi International Petroleum Exhibition & Conference

Numerical Simulation of Gas Lift Optimization Using Artificial Intelligence for a Middle Eastern Oil Field

evolutionary algorithm

gas lift

artificial intelligence

upstream oil & gas

machine learning

optimization problem

correlation

presented

allocation

reservoir pressure

Mohammed Ahmed

Omar F.

Dhifaf Jaafar

Haider Abdulmuhsin

Mustafa Alaulddin

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Abstract<p>Artificial lift techniques are a highly effective solution to aid the deterioration of the production especially for mature oil fields, gas lift is one of the oldest and most applied artificial lift methods especially for large oil fields, the gas that is required for injection is quite scarce and expensive resource, optimally allocating the injection rate in each well is a high importance task and not easily applicable. Conventional methods faced some major problems in solving this problem in a network with large number of wells, multi-constrains, multi-objectives, and limited amount of gas. This paper focuses on utilizing the Genetic Algorithm (GA) as a gas lift optimization algorit</p> ... Show More

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