A comprehensive review of deep learning power in steady-state visual evoked potentials

ZT Al-Qaysi, AS Albahri, MA Ahmed, RA Hamid… - Neural Computing and …, 2024 - Springer
Brain–computer interfacing (BCI) research, fueled by deep learning, integrates insights from
diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI …

[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 hybrid feature learner model integrating FDOSM for golden subject identification in motor imagery

ZT Al-Qaysi, AS Albahri, MA Ahmed… - Physical and Engineering …, 2023 - Springer
Brain-computer interfaces (BCIs) based on motor imagery (MI) face challenges due to the
complex nature of brain activity, nonstationary and high-dimensional properties, and …

[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 …

Taxonomy, Open Challenges, Motivations, and Recommendations in Driver Behavior Recognition: A Systematic Review

MA Ahmed, MB Omar, HA Hussein… - Iraqi Journal for …, 2024 - ijcsm.researchcommons.org
Driver behavior has a major role in many of the unpleasant things that happen when driving,
such as crashes or accidents, heavy traffic, abrupt braking, and acceleration and …

[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 …

[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 …

Deep Transfer Learning Model for EEG Biometric Decoding

RA Aljanabi, ZT Al-Qaysi… - … Data Science and …, 2024 - journals.mesopotamian.press
In automated systems, biometric systems can be used for efficient and unique identification
and authentication of individuals without requiring users to carry or remember any physical …

[PDF][PDF] Semantic Image Retrieval Analysis Based on Deep Learning and Singular Value Decomposition

MH Hadid, ZT Al-Qaysi, QM Hussein… - Applied Data Science …, 2024 - researchgate.net
The exponential growth in the total quantity of digital images has necessitated the
development of systems that are capable of retrieving these images. Content-based image …