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Alternative Risk Models for Optimal Investment in Portfolio-Based Community Solar
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Publication Date
Sun Jun 27 2010
Journal Name
All Days
Optimal Field Development Through Infill Drilling for the Main Pay in South Rumaila Oil Field
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Abstract<p>Study of determining the optimal future field development has been done in a sector of South Rumaila oil field/ main pay. The aspects of net present value (economic evaluation) as objective function have been adopted in the present study.</p><p>Many different future prediction cases have been studied to determine the optimal production future scenario. The first future scenario was without water injection and the second and third with 7500 surface bbls/day and 15000 surface bbls/day water injection per well, respectively. At the beginning, the runs have been made to 2028 years, the results showed that the optimal future scenario is continuing without water in</p> ... Show More
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Publication Date
Mon Jan 01 2024
Journal Name
Aip Conference Proceedings
Optimal placement and sizing for integration of renewable energy sources in distribution networks: A review
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Thu Apr 30 2020
Journal Name
Medico-legal Update 2020 Vol. 20 (1
Risk Factors for Congenital Anomalies in Neonatal Intensive Care Unit in Baghdad City
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Publication Date
Sun Jan 01 2023
Journal Name
Revista Iberoamericana De Psicología Del Ejercicio Y El Deporte
THE IMPACT OF COVID-19 ON FOOTBALL CLUB STOCK INTEGRATION AND PORTFOLIO DIVERSIFICATION
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Publication Date
Mon Oct 24 2022
Journal Name
Energies
Double-Slope Solar Still Productivity Based on the Number of Rubber Scraper Motions
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In low-latitude areas less than 10° in latitude angle, the solar radiation that goes into the solar still increases as the cover slope approaches the latitude angle. However, the amount of water that is condensed and then falls toward the solar-still basin is also increased in this case. Consequently, the solar yield still is significantly decreased, and the accuracy of the prediction method is affected. This reduction in the yield and the accuracy of the prediction method is inversely proportional to the time in which the condensed water stays on the inner side of the condensing cover without collection because more drops will fall down into the basin of the solar-still. Different numbers of scraper motions per hour (NSM), that is

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Publication Date
Wed May 12 2021
Journal Name
Annals Of The Romanian Society For Cell Biology
Hashimoto's Thyroiditis Increases Risk for Differentiated Thyroid Carcinoma
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Background: Hashimoto's thyroiditis has been found to coexist with differentiated thyroid cancer in surgical specimens, but an association between the two conditions has been discounted by the medical literature. So, we performed this research to determine any potential relationship between Hashimoto's thyroiditis and the risk of developing differentiated thyroid cancer in clinical status. we assessed the related clinical factors linking these conditions, especially serum thyroid-stimulating hormone concentration, family history of thyroid disease, gender&amp; young age group. Aim of study: to determine that hashimoto’s thyroiditis increases risk for differentiated thyroid carcinoma. Patients and method: This study is a Cross-sectiona

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Publication Date
Fri May 01 2020
Journal Name
Practice Periodical On Structural Design And Construction
Utilizing Emerging Technologies for Construction Safety Risk Mitigation
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Publication Date
Fri Apr 12 2024
Journal Name
Revista Latinoamericana De Hipertension
Most common risk factors distribution for cervical cancer
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Scopus
Publication Date
Mon Dec 01 2025
Journal Name
Journal Of Physics: Conference Series
Advanced Machine Learning Models for Banana Sweetness Classification
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It takes a lot of time to classify the banana slices by sweetness level using traditional methods. By assessing the quality of fruits more focus is placed on its sweetness as well as the color since they affect the taste. The reason for sorting banana slices by their sweetness is to estimate the ripeness of bananas using the sweetness and color values of the slices. This classifying system assists in establishing the degree of ripeness of bananas needed for processing and consumption. The purpose of this article is to compare the efficiency of the SVM-linear, SVM-polynomial, and LDA classification of the sweetness of banana slices by their LRV level. The result of the experiment showed that the highest accuracy of 96.66% was achieved by the

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Publication Date
Tue Dec 01 2009
Journal Name
Journal Of Economics And Administrative Sciences
Using Artificial Neural Network Models For Forecasting & Comparison
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The Artificial Neural Network methodology is a very important & new subjects that build's the models for Analyzing, Data Evaluation, Forecasting & Controlling without depending on an old model or classic statistic method that describe the behavior of statistic phenomenon, the methodology works by simulating the data to reach a robust optimum model that represent the statistic phenomenon & we can use the model in any time & states, we used the Box-Jenkins (ARMAX) approach for comparing, in this paper depends on the received power to build a robust model for forecasting, analyzing & controlling in the sod power, the received power come from

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