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Developing A Mathematical Model for Planning Repetitive Construction Projects By Using Support Vector Machine Technique
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Abstract<p>Each project management system aims to complete the project within its identified objectives: budget, time, and quality. It is achieving the project within the defined deadline that required careful scheduling, that be attained early. Due to the nature of unique repetitive construction projects, time contingency and project uncertainty are necessary for accurate scheduling. It should be integrated and flexible to accommodate the changes without adversely affecting the construction project’s total completion time. Repetitive planning and scheduling methods are more effective and essential. However, they need continuous development because of the evolution of execution methods, essentially based on the repetitive construction projects’ composition of identical production units. This study develops a mathematical model to forecast repetitive construction projects using the Support Vector Machine (SVM) technique. The software (WEKA 3.9.1©2016) has been used in the process of developing the mathematical model. The number of factors affecting the planning and scheduling of the repetitive projects has been identified through a questionnaire that analyzed its results using SPSS V22 software. Three accuracy measurements, correlation coefficient (R), Root Mean Square Error (RMSE) and Mean Absolute Error (MAE), were used to check the mathematical model and to compare the actual values with predicted values. The results showed that the SVM technique was more precise than those calculated by the conventional methods and was found the best generalization with R 97 %, MAE 3.6 %, and RMSE 7 %.</p>
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The Effect of Training Exercises Using an Innovative Device on Developing Skill Performance Among Female Foil Fencers
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Publication Date
Sun Jun 06 2010
Journal Name
Baghdad Science Journal
Preparation of Media for Growth and Isolation of Lactic Acid Bacteria by Using the Starch-Industry by- Products
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By- products of corn starch industry were used to prepare media for propagation the lactic acid bacteria as a natural auxotroph. The by- products used were the corn steep water (S) and gluten extract (G) after a proper treatment to get them ready for media preparation. The results showed that it was possible to replace the peptone and meat extract by gluten extract in MRS medium. The growth was approximately similar to that obtained in standard MRS media. Corn steep water (S) was used as well and the growth enhanced by including Tween – 80 at 1% level. The later media named MZ, which was superior for growing standard and local strains and starters. The MZ medium modified by adding acetate and glacial acetic acid similarly to

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Publication Date
Sun Jul 28 2024
Journal Name
Journal Of Dental Education
Evaluation of dental students and alumni's confidence level in orthodontic diagnosis and treatment‐planning: A qualitative study
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Abstract<sec> <title>Background

Orthodontic education, besides some other factors, influences the confidence level of recently graduated dentists to diagnose subjects seeking orthodontic treatment and provide treatment plans. This study aims to explore the factors that influence the confidence level of undergraduate dental students to diagnose subjects seeking orthodontic treatment and provide treatment plans after graduation.

Methods

A qualitative study was undertaken using focus groups a

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Publication Date
Wed Jan 01 2025
Journal Name
International Journal Of Sports, Exercise And Physical Education
The effect of compound exercises (Physical, Physiological) supported by polar m430 devices on developing explosive power in futsal players
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Publication Date
Mon Jan 01 2024
Journal Name
Bio Web Of Conferences
An overview of machine learning classification techniques
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Machine learning (ML) is a key component within the broader field of artificial intelligence (AI) that employs statistical methods to empower computers with the ability to learn and make decisions autonomously, without the need for explicit programming. It is founded on the concept that computers can acquire knowledge from data, identify patterns, and draw conclusions with minimal human intervention. The main categories of ML include supervised learning, unsupervised learning, semisupervised learning, and reinforcement learning. Supervised learning involves training models using labelled datasets and comprises two primary forms: classification and regression. Regression is used for continuous output, while classification is employed

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Publication Date
Wed Dec 25 2019
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
THE ROLE OF FINANCIAL INCLUSION IN PROVIDING FINANCIAL SUPPORT WOMEN IN IRAQ
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 This study dealt with the basics of financial inclusion in terms of concept, importance and objectives, The empowerment of women financially and bank,and then the relationship between financial inclusion and women, and determine the requirements of inclusion Financial resources for women. The analytical descriptive method was used for data, which included reviewing and analyzing information And data in economic and financial literature. The study: reached a number of conclusions, the most important of which are Financial inclusion contributes to women's financial and banking support, as there is a positive relationship between financial institutions Banking and women's access to financial and banking services, thus playing a role i

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Publication Date
Tue Mar 01 2011
Journal Name
Journal Of Economics And Administrative Sciences
The feasibility of re-enacting the Export Support Fund Act in Iraq
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Economists agree upon the importance of exports and their positive impacts on the economic variables. Therefore، they studied policies encouraging exports and set out the instrumentalities supporting them. These instrumentalities included a combination of fiscal، monetary، commercial، production policies like the tax policy that is encouraging to the exports، exchange rates reduction، establishing commercial free zones، better production quality، fostering investment climate، and preparation of the necessary financing before the exporting process and afterwards.

This research is interested in the finding aspect amongst the instrumentalities encouraging exports which is parallel t

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Publication Date
Thu Feb 08 2024
Journal Name
Engineering, Technology &amp; Applied Science Research
The Feasibility Study Report as an Effective Tool to Evaluate Investment Projects: A Solid Waste Treatment Project as a Case Study
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Hundreds of infrastructure investment projects are inserted into the Iraqi government budget annually. Many of these projects suffer from suspension, delay in completion, corruption, or other negative issues known in Iraqi construction projects. This may harm the country's economic recovery due to allocating funds to useless projects from one or more feasibility studies' components. Therefore, the best solution is to pay attention to the feasibility study reports. This study highlights the importance of feasibility studies reports for investment projects and their effective role in evaluating project ideas to ensure an equitable distribution of a country's financial resources to the most feasible investment projects. This importance

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Publication Date
Sun May 04 2014
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The effect of developing the strength of the muscles of the arms and shoulders in developing the performance of some floor movements skills in artistic gymnastics for women
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Wed Jun 01 2022
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Applied Energy
Novel mathematical modeling, performance analysis, and design charts for the typical hybrid photovoltaic/phase-change material (PV/PCM) system
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