Výsledky vyhľadávania - "multitask autoencoder"

Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification

Autori: Changgyun Jin Andrew H. Song Seong-Eun Kim

Zdroj: IEEE Access, Vol 12, Pp 77356-77367 (2024)

Predmety: subject-independent, 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, motor imagery, deep learning, EEG, Electrical engineering. Electronics. Nuclear engineering, multitask autoencoder, Classification, TK1-9971

Prístupová URL adresa: https://doaj.org/article/e224854d86d643978058e2430c63f522