Cargando…
A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology
The significance of deep learning techniques in relation to steady-state visually evoked potential- (SSVEP-) based brain-computer interface (BCI) applications is assessed through a systematic review. Three reliable databases, PubMed, ScienceDirect, and IEEE, were considered to gather relevant scient...
Autores principales: | Albahri, A. S., Al-qaysi, Z. T., Alzubaidi, Laith, Alnoor, Alhamzah, Albahri, O. S., Alamoodi, A. H., Bakar, Anizah Abu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164869/ https://www.ncbi.nlm.nih.gov/pubmed/37168809 http://dx.doi.org/10.1155/2023/7741735 |
Ejemplares similares
-
Rescuing emergency cases of COVID-19 patients: An intelligent real-time MSC transfusion framework based on multicriteria decision-making methods
por: Alsalem, M. A., et al.
Publicado: (2022) -
Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review
por: Alsalem, M. A., et al.
Publicado: (2022) -
Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases
por: Alamoodi, A. H., et al.
Publicado: (2023) -
Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
por: Alsalem, M.A., et al.
Publicado: (2021) -
Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: A distribution case study of COVID-19 vaccine doses
por: Albahri, A.S., et al.
Publicado: (2022)