Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

L Alzubaidi, A Al-Sabaawi, J Bai… - … Journal of Intelligent …, 2023 - Wiley Online Library
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …

SS Joudar, AS Albahri, RA Hamid, IA Zahid… - Artificial Intelligence …, 2023 - Springer
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …

[HTML][HTML] Evaluation of organizational culture in companies for fostering a digital innovation using q-rung picture fuzzy based decision-making model

OS Albahri, AH Alamoodi, M Deveci, AS Albahri… - Advanced Engineering …, 2023 - Elsevier
Developing a comprehensive data-driven strategy for evaluating the organisational culture
in companies to foster digital innovation involves a multi-criteria decision-making (MCDM) …

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 …

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 …

Unlocking the potential of autism detection: integrating traditional feature selection and machine learning techniques

SH Hammed, AS Albahri - Applied Data Science and Analysis, 2023 - mesopotamian.press
The diagnostic process for Autism Spectrum Disorder (ASD) typically involves time-
consuming assessments conducted by specialized physicians. To improve the efficiency of …

The Considerations of Trustworthy AI Components in Generative AI; A Letter to Editor

AS Albahri, YL Khaleel… - … Data Science and …, 2023 - journals.mesopotamian.press
Abstract Dear Editor: In navigating the ever-expanding realms of Artificial Intelligence (AI)
across diverse domains, particularly within the purviews of Generative AI, it becomes …

[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 …

Towards trustworthy myopia detection: integration methodology of deep learning approach, XAI visualization, and user interface system

WE Noori, AS Albahri - Applied Data Science and Analysis, 2023 - mesopotamian.press
Myopia, a prevalent vision disorder with potential complications if untreated, requires early
and accurate detection for effective treatment. However, traditional diagnostic methods often …

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 …