1. DSpace at CEPT University
  2. Faculty of Technology
  3. FT_PG
  4. Thesis (Faculty of Technology_PG)
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12725/11437
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorGaikwad, Santosh-
dc.contributor.advisorGandhi, Shaily-
dc.contributor.authorSahajramani, Dipen-
dc.date.accessioned2020-11-04T10:24:23Z-
dc.date.available2020-11-04T10:24:23Z-
dc.date.issued2019-
dc.identifier.urihttp://hdl.handle.net/20.500.12725/11437-
dc.titlePedestrian mobility modelling : a spatial machine learning approach.-
dc.barcode021575-
dc.pagesii,51,liii-lxivp.,1sheet-
dc.classnoMG TH-0181 SAH-
Appears in Collections:Thesis (Faculty of Technology_PG)

Files in This Item:
File Description SizeFormat 
MG TH-0181.pdf
  Restricted Access		5.03 MBAdobe PDF Request a copy
MG TH-0181 Summary.pdf382.24 kBAdobe PDF Preview PDF
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.