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 …
Performance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodology
This paper proposes a novel ship energy systems (SESs) benchmarking model for
performance measurement of sustainable transportation based on the extension of q-rung …
performance measurement of sustainable transportation based on the extension of q-rung …
[HTML][HTML] A comparative study of evaluating and benchmarking sign language recognition system-based wearable sensory devices using a single fuzzy set
Recent research has focused on developing real-time sign language recognition systems
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …
A novel fuel supply system modelling approach for electric vehicles under Pythagorean probabilistic hesitant fuzzy sets
Various companies have developed electric vehicle (EV)-based multiple fuel supply system
modeling approaches (FSSMAs). Nonetheless, no superior approach concurrently satisfies …
modeling approaches (FSSMAs). Nonetheless, no superior approach concurrently satisfies …
A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set
The modeling of smart training environments (STEs) for motor imagery-based brain–
computer interface (MI-BCI) falls under the multi-attribute decision analysis (MADA) due to …
computer interface (MI-BCI) falls under the multi-attribute decision analysis (MADA) due to …
Sustainability assessment of palm oil industry 4.0 technologies in a circular economy applications based on interval-valued Pythagorean fuzzy rough set-FWZIC and …
The palm oil industry is one of the most competitive industries and must comply with industry
standards for flexible supply chain operations, productivity, and sustainability. Many …
standards for flexible supply chain operations, productivity, and sustainability. Many …
Uncertainty decision modeling approach for control engineering tools to support industrial cyber-physical metaverse smart manufacturing systems
The uncertainty decision modeling of control engineering tools to support industrial cyber-
physical metaverse smart manufacturing systems (ICPMSMSs) falls under the multicriteria …
physical metaverse smart manufacturing systems (ICPMSMSs) falls under the multicriteria …
[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 …