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 …
Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: a systematic review
The exact nature, harmful effects and aetiology of autism spectrum disorder (ASD) have
caused widespread confusion. Artificial intelligence (AI) science helps solve challenging …
caused widespread confusion. Artificial intelligence (AI) science helps solve challenging …
[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 …
Federated learning for IoMT applications: A standardization and benchmarking framework of intrusion detection systems
Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …
Multi-attribute decision-making for intrusion detection systems: A systematic review
Intrusion detection systems (IDSs) employ sophisticated security techniques to detect
malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security …
malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security …
Integration of FDOSM and FWZIC under homogeneous Fermatean fuzzy environment: a prioritization of COVID-19 patients for mesenchymal stem cell transfusion
Mesenchymal stem cell (MSC) transfusion has shown promising results in treating COVID-
19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 …
19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 …
Complex q-rung orthopair fuzzy 2-tuple linguistic group decision-making framework with Muirhead mean operators
In this study, we aim to develop a method for solving multi-attribute group decision-making
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …
DAS benchmarking methodology based on FWZIC II and FDOSM II to support industrial community characteristics in the design and implementation of advanced …
This study proposed a novel methodology of data acquisition systems (DASs) benchmarking
based on fuzzy-weighted zero-inconsistency (FWZIC II) and fuzzy decision by opinion score …
based on fuzzy-weighted zero-inconsistency (FWZIC II) and fuzzy decision by opinion score …
Evaluation of remote sensing techniques-based water quality monitoring for sustainable hydrological applications: an integrated FWZIC-VIKOR modelling approach
Evaluating remote sensing techniques (RST)-based water quality monitoring systems in
hydrological applications is a complex multi-attribute decision-making (MADM) problem due …
hydrological applications is a complex multi-attribute decision-making (MADM) problem due …
Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations …
When COVID-19 spread in China in December 2019, thousands of studies have focused on
this pandemic. Each presents a unique perspective that reflects the pandemic's main …
this pandemic. Each presents a unique perspective that reflects the pandemic's main …