Brick-by-Brick: Cyber-Physical Building Data Classification Challenge
Figure 1: Scaling up the web integration of buildings is important to improve human wellbeing, energy efficiency, and tackling climate change.A significant barrier is in automating the semantic labeling of data streams from IoT devices in buildings.In the Brick-by-brick challenge (www.aicrowd.com/challenges/brick-by-brick-2024),the participants classify the timeseries from IoT devices, according to a standardised semantic schema.Figure is from [11]
Authors
- Hao Xue (ORCID: https://orcid.org/0000-0003-1700-9215)
- Imran Razzak (ORCID: https://orcid.org/0000-0002-3930-6600)
- Stephen D. White (ORCID: https://orcid.org/0000-0002-6790-4296)
- Arian Prabowo (ORCID: https://orcid.org/0000-0002-0459-354X)
- Flora Dilys Salim (ORCID: https://orcid.org/0000-0002-1237-1664)
- Xiachong Lin (ORCID: https://orcid.org/0009-0009-6762-8365)
- Matthew Amos (ORCID: https://orcid.org/0009-0008-8294-9936)
Institutions
- Commonwealth Scientific and Industrial Research Organisation (AU)
- UNSW Sydney (AU)
Publication Details
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1145/3701716.3718483
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Computational Infrastructure
- Australian Government
- Commonwealth Scientific and Industrial Research Organisation
- New South Wales Government
- National Cancer Institute