A New Method to Tune a Fractional-Order PID Controller for a Twin Rotor Aerodynamic System
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Publication Date
Tue Jan 01 2019
Journal Name
Indian Journal Of Public Health Research & Development
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Publication Date
Wed Jun 01 2022
Journal Name
Baghdad Science Journal
A Fuzzy Dynamic Programming for the Optimal Allocation of Health Centers in some Villages around Baghdad
The Planning and Resource Development Department of the Iraqi Ministry of Health is very interested in improving medical care, health education, and village training programs. Accordingly, and through the available capabilities of the ministry, itdesires to allocate seven health centers to four villages in Baghdad, Iraq therefore the ministry needs to determine the number of health centers allocated to each of these villages which achieves the greatest degree of the overall effectiveness of the seven health centers in a fuzzy environment. The objective of this study is to use a fuzzy dynamic programming(DP) method to determine the optimal allocation of these centers, which allows the greatest overall effectiveness of these health centers
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Publication Date
Tue Nov 01 2022
Journal Name
Computers And Electronics In Agriculture
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Publication Date
Wed Jan 04 2006
Journal Name
The Iraqi Postgraduate Medical Journal
Publication Date
Fri Apr 01 2016
Journal Name
Journal Of Economics And Administrative Sciences
A Comparison Between Classic Local Least Estimatop And Bayesian Methoid For Estimating Semiparametric Logistic Regression Model
الانحدار اللوجستي- أنموذج شبه المعلمي- المقدر - مقدر بيز- دالة اللب-عرض الحزمة .
Semi-parametric models analysis is one of the most interesting subjects in recent studies due to give an efficient model estimation. The problem when the response variable has one of two values either 0 ( no response) or one – with response which is called the logistic regression model.
We compare two methods Bayesian and . Then the results were compared using MSe criteria.
A simulation had been used to study the empirical behavior for the Logistic model , with different sample sizes and variances. The results using represent that the Bayesian method is better than the at small samples sizes.
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Publication Date
Thu Jun 01 2017
Journal Name
Nuclear Physics A
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Publication Date
Sat Jan 01 2022
Journal Name
Ieee Access
Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithms for English Text Classification: A Systematic Review
Metaheuristics
Feature extraction
Text categorization
Classification algorithms
Systematics
Search problems
Business
Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers in reducing error rates, computation time, overfitting, and improving classification accuracy. It has demonstrated its efficacy in myriads of domains, ranging from its use for text classification (TC), text mining, and image recognition. While there are many traditional FS methods, recent research efforts have been devoted to applying metaheuristic algorithms as FS techniques for the TC task. However, there are few literature reviews concerning TC. Therefore, a comprehensive overview was systematicall
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Publication Date
Mon Jan 01 2024
Journal Name
Malaysian Journal Of Nursing
Experiences of Nurses in Providing Care for Patients on the Cancer Journey: A Cross-Sectional Survey
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Publication Date
Wed Aug 18 2021
Journal Name
Chemical Papers
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Publication Date
Tue Apr 02 2019
Journal Name
Journal Of Environmental Health Science And Engineering
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