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Title:Nonlinear EEG signal autoregression for improved brain functional connectivity analysis : final project paper
Authors:ID Pachemska, Sara (Author)
ID Rogelj, Peter (Mentor) More about this mentor... This link opens in a new window
Files:.pdf DIP_Pachemska_Sara_2024.pdf (563,51 KB)
MD5: F838F4B955872AB89A36D905D45F3BB5
 
Language:English
Work type:Final paper
Typology:2.11 - Undergraduate Thesis
Organization:FAMNIT - Faculty of Mathematics, Science and Information Technologies
Keywords:electroencephalography, machine learning, vector autoregression, convolutional neural network
Place of publishing:Koper
Place of performance:Koper
Publisher:S. Pachemska
Year of publishing:2024
Year of performance:2024
Number of pages:1 spletni vir (1 datoteka PDF (IX, 32 str.))
PID:20.500.12556/RUP-21092 This link opens in a new window
UDC:004.9
COBISS.SI-ID:225856259 This link opens in a new window
Note:Sistemske zahteve: Adobe Acrobat Reader
Publication date in RUP:11.02.2025
Views:142
Downloads:5
Metadata:XML DC-XML DC-RDF
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Secondary language

Language:Slovenian
Title:Nelinearna avtoregresija EEG signalov za izboljšano analizo funcijske možganske povezljivosti : zaključna naloga
Keywords:elektroencefalografija, strojno učenje, vektorska avtoregresija, konvolucijska nevronska mreža


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