Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification

Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

ग्रंथसूची विवरण
मुख्य लेखकों:	Tanvir, Farhan, Rahman, Tanjilur, Kamal, S M Arfa, Hassan, Mahmudul, Nazia, Nowshin
अन्य लेखक:	Nahim, Nabuat Zaman
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	Brac University 2024
विषय:	fMRI data Deep learning Sleep stage detection ConvLSTM model LSTM EEG data Signal processing > Digital techniques. Machine learning. Electroencephalography.
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/24267

समान संसाधन

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