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 …

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 agriculture-food 4.0 supply chain approaches using Fermatean probabilistic hesitant-fuzzy sets based decision making model

S Qahtan, HA Alsattar, AA Zaidan, M Deveci… - Applied Soft …, 2023 - Elsevier
The benchmarking of agri-food 4.0 supply chain (Agri4SC) falls under the multiple criteria
problem in supply chain visibility (SCV) and supply chain resource integration (SCRI) for …

[HTML][HTML] Developing sustainable management strategies in construction and demolition wastes using a q-rung orthopair probabilistic hesitant fuzzy set-based decision …

H Ghailani, AA Zaidan, S Qahtan, HA Alsattar… - Applied Soft …, 2023 - Elsevier
Sustainable management of construction and demolition wastes (CDWs) has become a
pressing global issue in social, environmental and economic contexts, and it involves …

[HTML][HTML] Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model

OS Albahri, AH Alamoodi, M Deveci, AS Albahri… - Energy Policy, 2023 - Elsevier
As global median temperatures continue to rise, the demand for active cooling systems
(ACs) is increasing. These systems are particularly prevalent in developed countries for …

Bitcoin network-based anonymity and privacy model for metaverse implementation in Industry 5.0 using linear Diophantine fuzzy sets

ZK Mohammed, AA Zaidan, HB Aris, HA Alsattar… - Annals of Operations …, 2023 - Springer
Metaverse is a new technology expected to generate economic growth in Industry 5.0.
Numerous studies have shown that current bitcoin networks offer remarkable prospects for …

[HTML][HTML] Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc …

AS Albahri, RA Hamid, AR Abdulnabi, OS Albahri… - Information …, 2024 - Elsevier
This paper addresses various issues in the literature concerning adversarial attack detection
in Vehicular Ad-hoc Networks (VANETs). These issues include the failure to consider both …

Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications

OS Albahri, MS Al-Samarraay, HA AlSattar… - Neural Computing and …, 2023 - Springer
Intrusion detection systems (IDSs) are commonly employed to mitigate network security
threats in various fields, including federated learning applications within the Internet of …

[HTML][HTML] Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future

MT Aljburi, AS Albahri, OS Albahri, AH Alamoodi… - Energy Strategy …, 2024 - Elsevier
Abstract Energy Systems Integration (ESI) involves coordinating and planning energy
systems to provide reliable and affordable energy services while minimizing environmental …

An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making

G Wan, Y Rong, H Garg - Granular Computing, 2023 - Springer
The major objective of the current investigation is to build an integrated multiple criteria
group decision-making (MCGDM) methodology based on combined compromise solution …