Abdulrafa hoseen maray
Research Interests
| Gender | MALE |
|---|---|
| Place of Work | Polytechnic College Mosul |
| Department | Electronics and Communications Techniques |
| Position | Department manager |
| Qualification | Master |
| Speciality | Computer engineering |
| rafiallwaze@ntu.edu.iq | |
| Phone | 07702064046 |
| Address | ., ., Mosul, Iraq |
Skills
Deep Learning and Neural Networks (75%)
Computer Vision (85%)
Computer and Embedded Systems Engineering| (85%)
Artificial Intelligence (90%)
Academic Qualification
Bachelor’s Degree - 2003
Oct 1, 2000 - Oct 1, 2003Computer Engineering Techniques from the Technical Education Authority in Iraq, obtained in 2003.
M.Sc. in Computer Engineering - 2013
Jul 1, 2010 - Jul 1, 2013Computer Engineering Techniques from the Technical Education Authority in Iraq, 2013
Publications
Designing andImplementingaFakeDocumentDetectionSystem Using ArtificialIntelligence
Dec 19, 2025Journal Journal of Engineering
publisher WILEY
DOI https://doi.org/10.1155/je/3902628
Volume 7
This research distinguishes between original documents with genuine seals and those with printer-forged seals using infrared techniques. The study repurposes old devices, such as a converted webcam capable of infrared night vision with an image zoom range of 600–1500 nm, for this critical application. A comparative analysis was performed with expensive thermal cameras, and a convolutional neural network (CNN) was designed and implemented to classify and detect original or forged documents using artificial intelligence. The system delivers immediate results and was trained on a large set of images, achieving excellent performance: 98.8% efficiency with thermal imaging 97.9% efficiency with the proposed CNN-based webcam system This approach demonstrates a cost-effective, accurate, and scalable solution for document authentication.
Inexpensive human audiometric system using Raspberry Pi and artificial intelligence
Dec 1, 2025Journal International Journal of Artificial Intelligence
publisher iaes
DOI http://doi.org/10.11591/ijai.v14.i6.pp4502-4510
Volume 14
The most common and widespread disease in Iraq is hearing impairment for children and newborns. Also, in cities, people are exposed to high levels of noise, loud sounds at work, like factories, and machinery noise. In this paper, a system was designed and implemented to measure the level of hearing in the human ear, in order to reduce the cost of these devices. This system uses Raspberry Pi 3 microcontrollers, which are considered cheap and have high capabilities in open-source programming. Their abundant availability will lead to the provision of these systems in homes, health centers, and hospitals. In this proposed algorithm, two sine waves are generated by the microcontroller with different frequencies. It is transmitted by the MP3 audio transmission cable through the analog-to-digital (ADC) port. These audio signals are generated at a frequency of (0.5 to 12 kHz), these frequencies are the ones that humans can hear, and they can be represented by pulse width modulator (PWM) technology (x=255 samples). Convolutional neural network (CNN) is trained on the dataset acquired through deep learning algorithms.
Using skeleton model to recognize human gait gender
Jun 1, 2023Journal IAES International Journal of Artificial Intelligence
Volume 2
.
Design and Implementation of low-cost Vein-Viewer Detection Using Near Infrared Imaging
Mar 1, 2023Journal Indonesian Journal of Electrical Engineering and Computer Science
Volume 2
.
Design and implementation of low-cost medical auditory system of distortion otoacoustic using microcontroller
Apr 1, 2022Journal Journal of Engineering Science and Technology
Volume 2
.
Improving Performance of Projector with the Protection of the Eyes while using a Smart Board
Dec 1, 2020Journal AL-Rafidain Journal of Computer Sciences and Mathematics
Volume 2
New Optimized Priority CPU Scheduling Algorithm by using Knapsack (NOPSACK)
May 1, 2020Journal GRD Journals-Global Research and Development Journal for Engineering
Volume 6
Design and Implementation Embedded System To Generate Random Seed Number
Jan 1, 2020Journal International Journal of Software & Hardware Research in Engineering
Volume 2
Drug-Drug Interactions (MBPDDIs)
Jan 1, 2017Journal Engineering and Technology Journal
Volume 35
LOW COST MEDICAL DATA ACQUISITION SYSTEM USING AVR-MCU AND PC
Jan 1, 2012Journal journal of Theoritical and Applied Information Technology
Volume 2
