A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
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 …
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
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
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 …
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 …
Sustainable management of construction and demolition wastes (CDWs) has become a
pressing global issue in social, environmental and economic contexts, and it involves …
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
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 …
(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 …
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 …
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 …
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 …
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
Abstract Energy Systems Integration (ESI) involves coordinating and planning energy
systems to provide reliable and affordable energy services while minimizing environmental …
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 …
group decision-making (MCGDM) methodology based on combined compromise solution …