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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Kim, Jae Joon | - |
| dc.contributor.author | Cho, Jeonghoon | - |
| dc.date.accessioned | 2025-04-04T13:49:11Z | - |
| dc.date.available | 2025-04-04T13:49:11Z | - |
| dc.date.issued | 2025-02 | - |
| dc.description.degree | Doctor | - |
| dc.description | Department of Electrical Engineering | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/86449 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000865569 | - |
| dc.language | ENG | - |
| dc.publisher | Ulsan National Institute of Science and Technology | - |
| dc.rights.embargoReleaseDate | 9999-12-31 | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.subject | On-Chip AI | - |
| dc.subject | Mixture Gas Sensor | - |
| dc.subject | Readout Integrated Circuit | - |
| dc.subject | Edge Computing | - |
| dc.subject | Cross- Iterative-Tuning Regression Neural Network | - |
| dc.subject | Metal-Oxide Semiconductor | - |
| dc.title | A Mixture-Gas Multisensor Interface with On-Chip Classification and On-Edge Regression | - |
| dc.type | Thesis | - |
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