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Mayyadah Ramiz Mahmood

Area interest

    Artificial Intelligence Image Processing

Specialties

    Artificial Intelligence Image Processing

Language

  • English (Very Good)
  • Arabic (Very Good)
  • Kurdish (Good)

Social Links

Professional Experience

Research interest: Machine Learning, Computer Vision, Data Mining, Security, Image Processing, Pattern recognition, Artificial Intelligence . Programming languages: C, C++, C#, Java, Pascal, Assembly (Assembler X86, Z80 ) , Visual basic, Prolog. Databases and Query Languages: SQL Server, Oracle, MS Access.

Academic Title
2019

Lecturer

2019-05-12
2010

Assistant Lecturer

2010-03-25

Published Journal Articles
2023

COVID-19 detection based on convolution neural networks from CT-scan images: a review

2023-03
2022

Comparison Between a Knowledge-Based System for COVID-19 using Compressed Internet of Things Data: A Review

2022-11

Performance evaluation of chi-square and relief-F feature selection for facial expression recognition

2022-09

Analyses the Performance of Data Warehouse Architecture Types

2022-06
2021

A Comprehensive Survey of Big Data Mining Approaches in Cloud Systems

2021-04

Classification techniques’ performance evaluation for facial expression recognition

2021-02
2020

Vaccine Tracker/SMS Reminder System: Design and Implementation

2020-09

An Investigation for Mobile Malware Behavioral and Detection Techniques Based on Android Platform

2020-08

A Tree Method for Managing Documents in Mongodb

2020-07

Client/Server Remote Control Administration System: Design and Implementation

2020-07

Cloud Computing Resources Impacts on Heavy-Load Parallel Processing Approaches

2020-07

Conference
2021

Two Feature Selection Methods Comparison Chi-square and Relief-F for Facial Expression Recognition

2021-03

An Analytical Appraisal for Supervised Classifiers’ Performance on Facial Expression Recognition Based on Relief-F Feature Selection

2021-03
2019

Different Model for Hand Gesture Recognition with a Novel Line Feature Extraction

2019-05
2018

Dynamic Hand Gesture Recognition System for Kurdish Sign Language Using Two Lines of Features

2018-10
2017

A Comparative Study of a New Hand Recognition Model Based on Line of Features and Other Techniques

2017-04