Opinion weight criteria method (OWCM): a new method for weighting criteria with zero inconsistency

ADA Mandil, MM Salih, YR Muhsen - IEEE access, 2024 - ieeexplore.ieee.org
Determining criteria weights is a frequent issue in multi-criteria decision-making (MCDM)
techniques. The weight given to various criteria can have a significant impact on a decision's …

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] 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 …

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 new extension of fuzzy decision by opinion score method based on Fermatean fuzzy: A benchmarking COVID-19 machine learning methods

MM Salih, ZT Al-Qaysi, ML Shuwandy… - Journal of Intelligent …, 2022 - content.iospress.com
To date, for the purpose of solving the complex problems in the area of expert system, Multi
criteria decision making is the best technique to offer the suitable solution. In the academic …

Machine learning-based new approach to films review

MA Jassim, DH Abd, MN Omri - Social Network Analysis and Mining, 2023 - Springer
The main purpose of Sentiment Analysis (SA) is to derive useful insights from large amounts
of unstructured data compiled from various sources. This analysis helps to interpret and …

A trustworthy and explainable framework for benchmarking hybrid deep learning models based on chest X-ray analysis in CAD systems

AS Albahri, MM Jassim, L Alzubaidi… - … and Decision Making, 2024 - eprints.qut.edu.au
Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD)
systems is challenging. There is a need to optimize trust and performance in model …

Generalized Time Domain Prediction Model for Motor Imagery-based Wheelchair Movement Control

ZT Al-Qaysi, MS Suzani… - … Journal of Big Data, 2024 - mesopotamian.press
Brain-computer interface (BCI-MI)-based wheelchair control is, in principle, an appropriate
method for completely paralyzed people with a healthy brain. In a BCI-based wheelchair …

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 …

Multi-classification of chest X-rays for COVID-19 diagnosis using deep learning algorithms

AA AbdElhamid, E AbdElhalim, MA Mohamed… - Applied Sciences, 2022 - mdpi.com
Accurate detection of COVID-19 is of immense importance to help physicians intervene with
appropriate treatments. Although RT-PCR is routinely used for COVID-19 detection, it is …