[PDF][PDF] An overview of content-based image retrieval methods and techniques

MH Hadid, QM Hussein, ZT Al-Qaysi, MA Ahmed… - Iraqi Journal For …, 2023 - iasj.net
Numerous devices for image capture have emerged in the digital environment of the present
day. Using image processing techniques, it is now easier than ever to store a large number …

Development of an improved convolutional neural network for an automated face based university attendance system

OS Ojo, MO Oyediran, BJ Bamgbade, AE Adeniyi… - …, 2023 - journals.itiud.org
Because of the flaws of the present university attendance system, which has always been
time intensive, not accurate, and a hard process to follow. It, therefore, becomes imperative …

Optimal Time Window Selection in the Wavelet Signal Domain for Brain–Computer Interfaces in Wheelchair Steering Control

ZT Al-Qaysi, MS Suzani… - … Data Science and …, 2024 - mesopotamian.press
Background and objective: Principally, the procedure of pattern recognition in terms of
segmentation plays a significant role in a BCI-based wheelchair control system for avoiding …

A Frequency-Domain Pattern Recognition Model for Motor Imagery-Based Brain-Computer Interface

ZT Al-Qaysi, MS Suzani… - Applied Data …, 2024 - journals.mesopotamian.press
Brain-computer interface (BCI) is an appropriate technique for totally paralyzed people with
a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in …

Automatic attendance system based on CNN–LSTM and face recognition

AK Shukla, A Shukla, R Singh - International Journal of Information …, 2024 - Springer
In the era of the Covid-19 pandemic, the education system has undergone a significant shift
from traditional offline classes to online modes of learning for students. However, keeping …

[PDF][PDF] Hybrid Model for Motor Imagery Biometric Identification

RA Aljanabi, ZT Al-Qaysi, MA Ahmed… - Iraqi Journal For Computer …, 2024 - iasj.net
Biometric systems are a continuously evolving and promising technological domain that can
be used in automatic systems for the unique and efficient identification and authentication of …

Deep Learning Approaches for Gender Classification from Facial Images

MA Habeeb, YL Khaleel, RD Ismail… - … Journal of Big Data, 2024 - mesopotamian.press
Gender recognition on the facial level is considered one of the most important technologies
that finds use in such fields as a personalized marketing plan, safe systems of …

[PDF][PDF] Improving Lumbar Disc Bulging Detection in MRI Spinal Imaging: A Deep Learning Approach

MA Abed, ZT Al-Qaysi, MS Suzani - Al-Salam Journal for Engineering and …, 2025 - iasj.net
Lower back pain is a common ailment that affects many people resulting from various spinal
diseases such as disk bulge. Disc bulging, which refers to the narrowing of the intervertebral …

Deep Learning Model for Hand Movement Rehabilitation

RD Ismail, QA Hameed, MA Habeeb… - Mesopotamian …, 2024 - mesopotamian.press
Electroencephalography (EEG) can control machines for human purposes, especially for
disabled people doing rehabilitation exercises or regular tasks. Brain-computer interface …

[PDF][PDF] Detecting Defect in Central Pivot Irrigation System using YOLOv7 Algorithms

ON Haggab, ZT Al-Qaysi - Al-Salam Journal for Engineering and …, 2024 - iasj.net
Central Pivot Irrigation System (CPIS) is a significant method for intelligent irrigation used in
global agriculture. It is used to cultivate important crops like wheat, which contribute to global …