Ukufa

الملف الشخصي

حاصلة على درجة البكالوريوس في قسم الحاسوب / كلية التربية للبنات عام 2012 من جامعة الكوفة
حاصلة على درجة الماجستير في علوم الحاسوب من الجامعة الحديثة للادارة والعلوم من لبنان سنة 2022

عرض المزيد

الاهتمامات البحثية

الذكاء الاصطناعي
قواعد بيانات

البحوث المنشورة

Classification of supervised deep learning models for COVID-19 tweets sentiment analysis

الباحث الأول: Rusul Mohammed alkhafaji

الباحثين الآخرين: Shaymaa awad kadhim * , Humam Adnan Sameer and Doaa hadi abid muslim

المجلة: GSC Advanced Research and Reviews International

تاريخ النشر: 25 يونيو، 2024

مختصر البحث:

Social media provided a successful management of human societies in light of global crises. Social media platforms have been considered the central authority in guiding society, receiving information and conducting business in many countries during …

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prediction of CO2 emission based on the NARX neural network of Iraq

الباحث الأول: Humam Adnan Sameer

الباحثين الآخرين: Rusul Mohammed Alkhafaji, Mizher Abdul Hassan Najim

المجلة: Young Scientist

تاريخ النشر: 12 نوفمبر، 2024

مختصر البحث:

Environmental improvement steps are important factors in relation to technological progress in the world, and it is considered one of the fierce enemies of the environment, one of its tools is carbon dioxide (CO2) emissions as it is an indicator of … Environmental improvement steps are important factors in relation to technological progress in the world, and it is considered one of the fierce enemies of the environment, one of its tools is carbon dioxide (CO2) emissions as it is an indicator of environmental pollution with its high rates in the atmosphere, and predicting its emissions and future expectations contribute greatly to drawing up a sustainable environmental policy. On this basis, this study used one of the most important artificial intelligence (AI) tools, which is the multilayer nonlinear autoregressive exogenous model (ML-NARX), to predict and forecast annual CO2 emissions and their quantities in Iraq until 2032. The measured CO2 emissions data were collected for the purpose of studying from the «Our World in Data» website from 1950 to 2022 because some previous measurements were missing, as the database consisted of 73 samples that were divided into a training set, a test set, and a validation set at a ratio of 70:15:15, respectively. The proposed model was designed to consist of two hidden layers and the effect of modifying the number of nodes in each of the two hidden layers on the accuracy of the prediction was studied. As for the inputs used, one set was formed to predict the next value from the past value based on the time sequence of CO2 emission years. Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) were adopted as performance measures in evaluating the model, as the network was trained to reach the lowest value of MSE and RMSE which were 6.46E-04 and 2.54E-02 respectively, and the best structure used for the model was determined to be (10) nodes in first layer and (25) nodes in second layer. The output of the model's prediction curve for ten years for CO2 emission for the period from 2023 to 2032 showed an increase at a rate of 1.7820 million tons/year. Therefore, the results of this work will help local government and decision-makers to take the necessary and wise measures to address the environmental reality for the near and distant future as well.

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CALCULATION OF RADIOACTIVITY LEVELS FOR VARIOUS SOIL SAMPLES OF NEIGHBORHOOD AL RAHMAH (IRAQ)

الباحث الأول: SHATHA F. ALHOUS

الباحثين الآخرين: LUBNA A.ALASADI, SHAYMAA AWAD KADHIM, HAYDER H. HUSSAIN AND RUSUL MOHAMMED ALKHAFAJI

تاريخ النشر: 30 يناير، 2021

مختصر البحث:

The study of radioactive nuclei concentrations in soils is a very important topic due to the contribution of some factors in increasing these concentrations. Where the nucleus transition to food and then the human and endanger his life. Where take…

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Study the Health risk of Radioisotopes in different samples of salt in markets of Iraq.

الباحث الأول: Shaymaa Awad Kadhim alshebly*

الباحثين الآخرين: Azhar S.Alaboodi, Ahmed Muhsen Hassan, Rusul Mohammed alkhafaji and Asmahan Asaad Muhmood

المجلة: Journal of Physics: Conference Series

تاريخ النشر: 30 يوليو، 2019

مختصر البحث:

Eleven samples of salt were collected from local markets in Iraq for the purpose of identifying which types were more radioactive and the radiation efficacy of the external hazard index, outdoor absorbent dose, internal hazard index and indoor ab…

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رسل محمد حسون الخفاجي

رسل محمد حسون الخفاجي

الملف الشخصي

الاهتمامات البحثية

البحوث المنشورة

Classification of supervised deep learning models for COVID-19 tweets sentiment analysis

prediction of CO2 emission based on the NARX neural network of Iraq

CALCULATION OF RADIOACTIVITY LEVELS FOR VARIOUS SOIL SAMPLES OF NEIGHBORHOOD AL RAHMAH (IRAQ)

Study the Health risk of Radioisotopes in different samples of salt in markets of Iraq.

المحاضرات

Computer Troubleshooting Lab حاسبات

محاضرات الذكاء والاصطناعي حاسبات