Javascript must be enabled for the correct page display

Improving P300 BCI Speller Using Uncertainty Quantification

Renardi, Bernard (2024) Improving P300 BCI Speller Using Uncertainty Quantification. Master's Thesis / Essay, Artificial Intelligence.

[img] Text
mAI_2024_RenardiB.pdf
Restricted to Registered users only

Download (9MB)

Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Sburlea, A.I. and Jong, I.P. de
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 14 Mar 2024 08:29
Last Modified: 14 Mar 2024 08:29
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/32009

Actions (login required)

View Item View Item