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.

Chi tiết về thư mục
Những tác giả chính:	Tanvir, Farhan, Rahman, Tanjilur, Kamal, S M Arfa, Hassan, Mahmudul, Nazia, Nowshin
Tác giả khác:	Nahim, Nabuat Zaman
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	Brac University 2024
Những chủ đề:	fMRI data Deep learning Sleep stage detection ConvLSTM model LSTM EEG data Signal processing > Digital techniques. Machine learning. Electroencephalography.
Truy cập trực tuyến:	http://hdl.handle.net/10361/24267

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