Detection and prediction of microsleeps from EEG via deep learning
2021 doctoral thesis by Venkatasubramanian Krishnamoorthy at University of Otago
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Detection and prediction of microsleeps from EEG via deep learning
Summary
Detection and prediction of microsleeps from EEG via deep learning is a doctoral thesis[1].
Key Facts
- Detection and prediction of microsleeps from EEG via deep learning authored Venkatasubramanian Krishnamoorthy[2].
- Detection and prediction of microsleeps from EEG via deep learning's instance of is recorded as doctoral thesis[3].
- Detection and prediction of microsleeps from EEG via deep learning's publisher is recorded as OUR Archive[4].
- Detection and prediction of microsleeps from EEG via deep learning's language of work or name is recorded as English[5].
- Detection and prediction of microsleeps from EEG via deep learning's country of origin is recorded as New Zealand[6].
- Detection and prediction of microsleeps from EEG via deep learning's publication date is recorded as +2021-00-00T00:00:00Z[7].
- Detection and prediction of microsleeps from EEG via deep learning's main subject is recorded as deep learning[8].
- Detection and prediction of microsleeps from EEG via deep learning's main subject is recorded as electroencephalography[9].
- Detection and prediction of microsleeps from EEG via deep learning's main subject is recorded as microsleep[10].
- Detection and prediction of microsleeps from EEG via deep learning's work available at URL is recorded as https://ourarchive.otago.ac.nz/handle/10523/12291[11].
- Detection and prediction of microsleeps from EEG via deep learning's Handle ID is recorded as 10523/12291[12].
- Detection and prediction of microsleeps from EEG via deep learning's title is recorded as Detection and prediction of microsleeps from EEG via deep learning[13].
- Detection and prediction of microsleeps from EEG via deep learning's copyright holder is recorded as Venkatasubramanian Krishnamoorthy[14].
- Detection and prediction of microsleeps from EEG via deep learning's thesis submitted to is recorded as University of Otago[15].
- Detection and prediction of microsleeps from EEG via deep learning's on focus list of Wikimedia project is recorded as NZThesisProject[16].
- Detection and prediction of microsleeps from EEG via deep learning's copyright status is recorded as copyrighted[17].
- Detection and prediction of microsleeps from EEG via deep learning's thesis committee member is recorded as Richard D. Jones[18].
Body
Designation and Status
Detection and prediction of microsleeps from EEG via deep learning's instance of is recorded as doctoral thesis[3].