MoParkeR : Multi-objective Parking Recommendation
Download
Full text for this resource is not available from the Research Repository.
Export
Rahaman, Mohammad Saiedur, Shao, Wei, Salim, Flora D, Turky, Ayad ORCID: 0000-0001-8415-7328, Song, Andy, Chan, Jeffrey, Jiang, Junliang and Bradbrook, Doug (2021) MoParkeR : Multi-objective Parking Recommendation. In: SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 6 July 2021 - 7 July 2021, Tampa, Florida, USA.
Dimensions Badge
Altmetric Badge
Item type | Conference or Workshop Item (Other) |
URI | https://vuir.vu.edu.au/id/eprint/43644 |
DOI | 10.1145/3468791.3468810 |
Official URL | https://dl.acm.org/doi/10.1145/3468791.3468810 |
ISBN | 9781450384131 |
Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > College of Science and Engineering |
Keywords | parking recommender system; multi-objective optimization; Pareto front, parking sensor |
Citations in Scopus | 0 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)