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 …

Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis

MA Fadhel, AM Duhaim, AS Albahri… - Artificial Intelligence …, 2024 - Springer
In response to the burgeoning interest in the Metaverse—a virtual reality-driven immersive
digital world—this study delves into the pivotal role of AI in shaping its functionalities and …

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 …

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 …

Adversarial Attacks in Machine Learning: Key Insights and Defense Approaches

YL Khaleel, MA Habeeb… - Applied Data Science and …, 2024 - mesopotamian.press
There is a considerable threat present in genres such as machine learning due to
adversarial attacks which include purposely feeding the system with data that will alter the …

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 …

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 …