Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/228318
DC Field | Value | |
---|---|---|
dc.title | Mixture of Experts based Model Integration for Traffic State Prediction | |
dc.contributor.author | Chattopadhyay, Rajarshi | |
dc.contributor.author | Tham, Chen Khong | |
dc.date.accessioned | 2022-07-12T09:26:19Z | |
dc.date.available | 2022-07-12T09:26:19Z | |
dc.date.issued | 2022-06-19 | |
dc.identifier.citation | Chattopadhyay, Rajarshi, Tham, Chen Khong (2022-06-19). Mixture of Experts based Model Integration for Traffic State Prediction. 2022 IEEE Vehicular Technology Conference (VTC2022-Spring). ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/228318 | |
dc.source | Elements | |
dc.type | Conference Paper | |
dc.date.updated | 2022-07-10T11:03:45Z | |
dc.contributor.department | DEPT OF ELECTRICAL & COMPUTER ENGG | |
dc.description.sourcetitle | 2022 IEEE Vehicular Technology Conference (VTC2022-Spring) | |
dc.published.state | Published | |
dc.description.redeposit | completed | |
Appears in Collections: | Staff Publications Elements |
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File | Description | Size | Format | Access Settings | Version | |
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ChattoTham-IEEE-VTC-Spring-2022-IEEEPub.pdf | Published version | 724.63 kB | Adobe PDF | CLOSED | Published | |
ChattoTham-IEEE-VTC-Spring-2022.pdf | Accepted version | 663.96 kB | Adobe PDF | OPEN | Post-print | View/Download |
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