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Raymond Low

Biographic Data

ID6903499
NAMERaymond Low
GIVEN NAMESRaymond
FAMILY NAMELow
SIGNATURELOW R
AFFILIATIONSSingapore University of Technology and Design
ORCID0000-0003-3885-0812
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX0
  • User perceptions on the adoption of smart energy management systems in the workplace

    Open Access•Zeynep Duygu Tekler, Raymond Low et al.•ARTICLE•Energy Research & Social Science•2022•References: 5

  • An End-to-End Point of Interest (POI) Conflation Framework

    Open Access•Raymond Low, Zeynep Duygu Tekler et al.•ARTICLE•ISPRS International Journal of…•2021

    Point of interest (POI) data serves as a valuable source of semantic information for places of interest and has many geospatial applications in real estate, transportation, and urban planning. With the availability of different data sources, POI conflation serves as a valuable technique for enriching data quality and coverage by merging the POI data from multiple sources. This study proposes a novel end-to-end POI conflation framework consisting …

  • Point-of-Interest (POI) Data Validation Methods

    Open Access•Lih Wei Yeow, Raymond Low et al.•ARTICLE•ISPRS International Journal of…•2021

    Point-of-interest (POI) data from map sources are increasingly used in a wide range of applications, including real estate, land use, and transport planning. However, uncertainties in data quality arise from the fact that some of this data are crowdsourced and proprietary validation workflows lack transparency. Comparing data quality between POI sources without standardized validation metrics is a challenge. This study reviews and implements the …

No prominent works on this page.

  • An End-to-End Point of Interest (POI) Conflation Framework

    Open Access•Raymond Low, Zeynep Duygu Tekler et al.•ARTICLE•ISPRS International Journal of…•2021

    Point of interest (POI) data serves as a valuable source of semantic information for places of interest and has many geospatial applications in real estate, transportation, and urban planning. With the availability of different data sources, POI conflation serves as a valuable technique for enriching data quality and coverage by merging the POI data from multiple sources. This study proposes a novel end-to-end POI conflation framework consisting …

  • Point-of-Interest (POI) Data Validation Methods

    Open Access•Lih Wei Yeow, Raymond Low et al.•ARTICLE•ISPRS International Journal of…•2021

    Point-of-interest (POI) data from map sources are increasingly used in a wide range of applications, including real estate, land use, and transport planning. However, uncertainties in data quality arise from the fact that some of this data are crowdsourced and proprietary validation workflows lack transparency. Comparing data quality between POI sources without standardized validation metrics is a challenge. This study reviews and implements the …

  • User perceptions on the adoption of smart energy management systems in the workplace

    Open Access•Zeynep Duygu Tekler, Raymond Low et al.•ARTICLE•Energy Research & Social Science•2022•References: 5

Computer Science (3 works) · Artificial Intelligence (2 works) · Cartography (2 works) · Data mining (2 works) · Database (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Point of interest (2 works) · Workflow (2 works)

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