Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12725/26430
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Pandya,Raghuraj | - |
dc.contributor.author | Umate,Vishakha. D. | - |
dc.date.accessioned | 2023-03-04T05:33:56Z | - |
dc.date.available | 2023-03-04T05:33:56Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12725/26430 | - |
dc.title | Forecast construction sector market risk using machine learning for oil & gas upstream industry | - |
dc.barcode | 024564 | - |
dc.pages | vi,95p. | - |
dc.classno | CEM TH-0427 UMA | - |
Appears in Collections: | Thesis (Faculty of Technology_PG) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
CEM TH-0427.pdf Restricted Access | 7.02 MB | Adobe PDF | Request a copy | |
CEM TH-0427 Synopsis.pdf Restricted Access | 120.96 kB | Adobe PDF | Request a copy | |
CEM TH-0427 Summary.pdf | 108.17 kB | Adobe PDF | Preview PDF |
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