Prediction of microsleeps from EEG using Bayesian approaches.
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Summary
Prediction of microsleeps from EEG using Bayesian approaches. is a doctoral thesis[1].
Key Facts
- Prediction of microsleeps from EEG using Bayesian approaches.'s instance of is recorded as doctoral thesis[2].
- Prediction of microsleeps from EEG using Bayesian approaches. was published by UC Research Repository[3].
- Prediction of microsleeps from EEG using Bayesian approaches.'s language of work or name is recorded as English[4].
- Prediction of microsleeps from EEG using Bayesian approaches.'s country of origin is recorded as New Zealand[5].
- Prediction of microsleeps from EEG using Bayesian approaches. was released on 2018[6].
- Prediction of microsleeps from EEG using Bayesian approaches.'s main subject is electrical engineering[7].
- Prediction of microsleeps from EEG using Bayesian approaches.'s title is recorded as Prediction of microsleeps from EEG using Bayesian approaches.[8].
- Prediction of microsleeps from EEG using Bayesian approaches.'s author name string is recorded as Mohammadreza Shoorangiz[9].
- Prediction of microsleeps from EEG using Bayesian approaches.'s thesis submitted to is recorded as University of Canterbury[10].
- Prediction of microsleeps from EEG using Bayesian approaches.'s on focus list of Wikimedia project is recorded as NZThesisProject[11].
- Prediction of microsleeps from EEG using Bayesian approaches.'s copyright status is recorded as copyrighted[12].
- Prediction of microsleeps from EEG using Bayesian approaches.'s online access status is recorded as open access[13].
- Prediction of microsleeps from EEG using Bayesian approaches.'s thesis committee member is recorded as Richard D. Jones[14].
- Prediction of microsleeps from EEG using Bayesian approaches.'s thesis submitted for degree is recorded as Doctor of Philosophy[15].
Body
Designation and Status
Prediction of microsleeps from EEG using Bayesian approaches.'s instance of is recorded as doctoral thesis[2].