Occupancy prediction using different levels of sensor data

Bachelor's

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Bibliographic Details
Main Author: ONG PIN CHYI
Other Authors: BUILDING
Format: Dissertation
Language:English
Published: 2019
Subjects:
PFM
Online Access:https://scholarbank.nus.edu.sg/handle/10635/223314
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Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-223314
record_format dspace
spelling sg-nus-scholar.10635-2233142022-05-13T03:59:27Z Occupancy prediction using different levels of sensor data ONG PIN CHYI BUILDING ADRIAN CHONG Building PFM Project and Facilities Management 2019/2020 PFM Adrian Chong Bachelor's BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT) 2019-12-17T08:56:51Z 2022-04-22T20:29:59Z 2020-01-06 2022-04-22T20:29:59Z 2019-12-17 Dissertation ONG PIN CHYI (2019-12-17). Occupancy prediction using different levels of sensor data. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/223314 en https://lib.sde.nus.edu.sg/dspace/handle/sde/4699
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Building
PFM
Project and Facilities Management
2019/2020 PFM
Adrian Chong
spellingShingle Building
PFM
Project and Facilities Management
2019/2020 PFM
Adrian Chong
ONG PIN CHYI
Occupancy prediction using different levels of sensor data
description Bachelor's
author2 BUILDING
author_facet BUILDING
ONG PIN CHYI
format Dissertation
author ONG PIN CHYI
author_sort ONG PIN CHYI
title Occupancy prediction using different levels of sensor data
title_short Occupancy prediction using different levels of sensor data
title_full Occupancy prediction using different levels of sensor data
title_fullStr Occupancy prediction using different levels of sensor data
title_full_unstemmed Occupancy prediction using different levels of sensor data
title_sort occupancy prediction using different levels of sensor data
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/223314
_version_ 1734309884328935424