Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/17826
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Huang, Y | - |
dc.contributor.author | Chen, J | - |
dc.contributor.author | Abbod, M | - |
dc.contributor.author | Fan, S-Z | - |
dc.contributor.author | Shieh, J-S | - |
dc.contributor.author | Kung, Y-C | - |
dc.coverage.spatial | London, UK | - |
dc.date.accessioned | 2019-04-01T13:01:07Z | - |
dc.date.available | 2019-04-01T13:01:07Z | - |
dc.date.issued | 2019-07-03 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/17826 | - |
dc.description.sponsorship | The Lenovo Technology B.V. Taiwan Branch; Ministry of Science and Technology (Grant number: MOST 107-2221-E-155 -009 -MY2). | en_US |
dc.language.iso | en | en_US |
dc.publisher | World Congress on Engineering | - |
dc.source | World Congress on Engineering 2019 | - |
dc.source | World Congress on Engineering 2019 | - |
dc.title | Applying Time-Frequency Image of Convolutional Neural Network to Extract Feature on Long-Term EEG Signals to Predict Depth of Anesthesia | en_US |
dc.type | Conference Paper | en_US |
pubs.finish-date | 2019-07-05 | - |
pubs.finish-date | 2019-07-05 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2019-07-03 | - |
pubs.start-date | 2019-07-03 | - |
Appears in Collections: | Brunel Centre for Advanced Solidification Technology (BCAST) |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 2.96 MB | Adobe PDF | View/Open | |
WCE2019_pp463-467.pdf | 1.24 MB | Adobe PDF | View/Open |
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