Assessing the benefits of self-learning algorithms for natural ventilation opening controls in Mixed-mode Residential Buildings in India
| dc.barcode | 024259 | |
| dc.centre | Faculty of Technology | |
| dc.classno | MBEP TH-0075 SRI | |
| dc.contributor.advisor | Shukla, Yash | |
| dc.contributor.author | Srinidhi L | |
| dc.date.accessioned | 2022-11-25T08:47:11Z | |
| dc.date.available | 2022-11-25T08:47:11Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12725/16792 | |
| dc.pages | ix,53p. | |
| dc.title | Assessing the benefits of self-learning algorithms for natural ventilation opening controls in Mixed-mode Residential Buildings in India | |
| dc.type | Postgraduate Thesis Report |
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