Master’s Thesis Abstracts

Recognition of Facial Emotion Using Deep Learning Model

Medical X-Ray Mammographic Image Enhancement using Feed-Forward Neural Network and Particle Swarm Optimization Techniques

Using Machine Learning Techniques to Support Online Reputation Model

A Study Approach for online marketing over Social Media

Improving the Accuracy of Prediction of Heart Disease Risk Coronary Using Feature Processing Techniques

A New Semantic Oriented Approach for Image Retrieval Using Low-level Image Features

The Importance of Productivity Measurement in Use-Case-Points Effort Estimation

Dental Image Classification Technique for Wisdom Teeth

An Enhanced Technique Based On Chord Algorithm

Software Defect Prediction Using Support Vector Machine

Air Quality Monitoring Framework for Smart Buildings using Edge Computing and Fuzzy Logic

Learning to Rank Algorithm for Constructing Defect Prediction Models

Centralized Smart Monitoring System for Energy Consumption

Emotion Classification of Learners Using E-Learning Platform based on Facial Expressions

An Optimized Case Based Software Project Effort Estimation using Genetic Algorithm

Phishing websites Detection Using classification Mining Techniques

Automated X-Ray Image Classification for Covid-19 Diagnosis

Improving the Accuracy of Prediction in Liver Disease Using Machine Learning Techniques

Data Mining within Students Results Of The ministry of Education in the Republic of Iraq: Current situation and improvement opportunities

A Hybrid Data Deduplication Technique in Cloud Computing for the Data Storage

Prediction Enhancement for Heart Disease Using Machine Learning

Design and Analysis of a Low-Cost Portable IoT Air Quality-Monitoring Model with Machine Learning

Enhancing E-health Data Security with Dynamic User Revocation and Key Exchange

Air Quality Prediction Using Machine Learning in Jordan

Deriving a Quality-linked Use Case Model from Quality-linked & Object-Based Business Process Architecture and Process Models

Applying Machine Learning for Watch-list Filtering in Anti-money Laundering

Framework to Classify Reusable Software Components, Measure and to Enhance the Security in It

Fake News Detection about COVID-19 Vaccine on Social Media

Drug Sales Forecasting in the Iraqi Private Pharmaceutical Market using Deep Neural Network Algorithms

Predicting the Correct Procedure of COVID-19 Patients in Hospitals Using Machine Learning

A New Approach for Detecting and Handling Concept Drift in Big Data in Order to Perform Accurate Classification

Medical-Symptom-Based Intelligent Diseases Classification and Recognition

Enhancing the Performance of Breast Cancer Diagnosis Using Deep Learning Techniques and Image Processing