Detection of microsleeps from the eeg via optimized classification techniques.
2015 doctoral thesis by John Larocco at University of Canterbury
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Detection of microsleeps from the eeg via optimized classification techniques.
Summary
Detection of microsleeps from the eeg via optimized classification techniques. is a doctoral thesis[1].
Key Facts
- Detection of microsleeps from the eeg via optimized classification techniques. authored John Larocco[2].
- Detection of microsleeps from the eeg via optimized classification techniques.'s instance of is recorded as doctoral thesis[3].
- Detection of microsleeps from the eeg via optimized classification techniques.'s publisher is recorded as UC Research Repository[4].
- Detection of microsleeps from the eeg via optimized classification techniques.'s DOI is recorded as 10.26021/1324[5].
- Detection of microsleeps from the eeg via optimized classification techniques.'s language of work or name is recorded as English[6].
- Detection of microsleeps from the eeg via optimized classification techniques.'s country of origin is recorded as New Zealand[7].
- Detection of microsleeps from the eeg via optimized classification techniques.'s publication date is recorded as +2015-00-00T00:00:00Z[8].
- Detection of microsleeps from the eeg via optimized classification techniques.'s main subject is recorded as electrical engineering[9].
- Detection of microsleeps from the eeg via optimized classification techniques.'s work available at URL is recorded as https://ir.canterbury.ac.nz/handle/10092/11711[10].
- Detection of microsleeps from the eeg via optimized classification techniques.'s Handle ID is recorded as 10092/11711[11].
- Detection of microsleeps from the eeg via optimized classification techniques.'s title is recorded as Detection of microsleeps from the eeg via optimized classification techniques.[12].
- Detection of microsleeps from the eeg via optimized classification techniques.'s copyright holder is recorded as John Larocco[13].
- Detection of microsleeps from the eeg via optimized classification techniques.'s thesis submitted to is recorded as University of Canterbury[14].
- Detection of microsleeps from the eeg via optimized classification techniques.'s on focus list of Wikimedia project is recorded as NZThesisProject[15].
- Detection of microsleeps from the eeg via optimized classification techniques.'s copyright status is recorded as copyrighted[16].
- Detection of microsleeps from the eeg via optimized classification techniques.'s online access status is recorded as open access[17].
- Detection of microsleeps from the eeg via optimized classification techniques.'s thesis committee member is recorded as Richard D. Jones[18].
- Detection of microsleeps from the eeg via optimized classification techniques.'s thesis committee member is recorded as Phil Bones[19].
Body
Designation and Status
Detection of microsleeps from the eeg via optimized classification techniques.'s instance of is recorded as doctoral thesis[3].