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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Kim, Jae Joon | - |
| dc.contributor.author | Chae, Hee Young | - |
| dc.date.accessioned | 2024-01-29T15:38:56Z | - |
| dc.date.available | 2024-01-29T15:38:56Z | - |
| dc.date.issued | 2022-08 | - |
| dc.description.degree | Doctor | - |
| dc.description | Department of Electrical Engineering | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/73762 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000641419 | - |
| dc.language | eng | - |
| dc.publisher | Ulsan National Institute of Science and Technology (UNIST) | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.subject | Environment-adaptable continual learning, analog-assisted, readout integrated circuit, edge computing, pattern recognition, multi-gas sensor. | - |
| dc.title | An IoT Edge Gas Sensor Device with Analog Supported Continual Learning Scheme | - |
| dc.type | Thesis | - |
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