A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …

AS Albahri, ZT Al-Qaysi, L Alzubaidi… - … of Telemedicine and …, 2023 - Wiley Online Library
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …

Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: a systematic review

SS Joudar, AS Albahri, RA Hamid - Computers in Biology and Medicine, 2022 - Elsevier
The exact nature, harmful effects and aetiology of autism spectrum disorder (ASD) have
caused widespread confusion. Artificial intelligence (AI) science helps solve challenging …

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 …

A comprehensive survey on the cooperation of fog computing paradigm-based IoT applications: layered architecture, real-time security issues, and solutions

M Burhan, H Alam, A Arsalan, RA Rehman… - IEEE …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) can enable seamless communication between millions of
billions of objects. As IoT applications continue to grow, they face several challenges …

Diagnosis‐Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine …

ME Alqaysi, AS Albahri… - International Journal of …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a complex neurobehavioral condition that begins in
childhood and continues throughout life, affecting communication and verbal and behavioral …

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 …

Data reliability and fault diagnostic for air quality monitoring station based on low cost sensors and active redundancy

S Poupry, K Medjaher, C Béler - Measurement, 2023 - Elsevier
Air pollution is both an environmental and societal issue. Conventional air quality monitoring
involves costly measuring stations that demand specialized personnel. A more affordable …

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 …

Indoor air quality pollutants predicting approach using unified labelling process-based multi-criteria decision making and machine learning techniques

NS Baqer, AS Albahri, HA Mohammed… - Telecommunication …, 2022 - Springer
Indoor air quality (IAQ) refers to the conditions found within buildings that can impact
respiratory health. Good IAQ conditions for hospital facilities are essential, especially for …

Impact of Indoor Air Quality and Multi‐domain Factors on Human Productivity and Physiological Responses: A Comprehensive Review

Z Deng, B Dong, X Guo, J Zhang - Indoor Air, 2024 - Wiley Online Library
Indoor environmental quality (IEQ) significantly impacts human health, well‐being, and
productivity. However, a comprehensive and in‐depth review of the combined effects of IAQ …