Coordinating measurements for environmental monitoring in uncertain participatory sensing settings
- Submitting institution
-
University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 34241981
- Type
- D - Journal article
- DOI
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10.1613/jair.5484
- Title of journal
- Journal of Artificial Intelligence Research
- Article number
- -
- First page
- 433
- Volume
- 61
- Issue
- -
- ISSN
- 1076-9757
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This draws together and extends work by the same authors previously published at two top AI conferences - AAAI and AAMAS. It deals with an important, topical issue - air pollution. The work has led to follow-up research, including via several internships, third-year undergraduate projects, and as part of an EPSRC platform grant on Wearable and Autonomous Computing for Future Smart Cities (EP/P010164/1, £1.43M), on which Stein is a Co-I.
AAAI Paper: https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12100
AAMAS Paper: http://www.ifaamas.org/Proceedings/aamas2015/aamas/p493.pdf
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -