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Design of adaptive soft sensors using recursive just-in-time learning framework with non-linear local modeling strategy for quality monitoring in process industries
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| dc.contributor.author | Venkatavijayan, S | |
| dc.date.accessioned | 2024-05-11T05:57:21Z | |
| dc.date.available | 2024-05-11T05:57:21Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/14853 | |
| dc.description | Under the Supervision of Dr. Ajaya Kumar Pani and Prof. Hare Krishna Mohanta | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BITS PILANI, Pilani campus | en_US |
| dc.subject | Chemical engineering | en_US |
| dc.subject | Soft sensors | en_US |
| dc.subject | Non-linear modeling | en_US |
| dc.subject | Process industries | en_US |
| dc.title | Design of adaptive soft sensors using recursive just-in-time learning framework with non-linear local modeling strategy for quality monitoring in process industries | en_US |
| dc.type | Thesis | en_US |
