| Dutta, R and Das, A and Smith, D and Aryal, J and Morshed, A and Terhorst, A, “Autonomous framework for sensor network quality annotation: maximum probability clustering approach”, Procedia Computer Science Volume 29: ICCS 2014, 10-12 June 2014, Cairns, Australia, pp. 2201-2207. ISSN 1877-0509 (2014) [Refereed Conference Paper] |
| Data Type | Value |
|---|
| Type of Research | Strategic Basic Research |
| Research Division | Engineering |
| Research Group | Geomatic engineering |
| Research Field | Photogrammetry and remote sensing |
| Research Objective Division | Environmental Management |
| Research Objective Group | Other environmental management |
| Research Objective Field | Other environmental management not elsewhere classified |
| Visit Item on eCite | http://ecite.utas.edu.au/92518 |
| Digital Object Identifier | doi:10.1016/j.procs.2014.05.205 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Citing URL | View the list of citing articles on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Times Cited | 2 |
| Number of Downloads | 407 |
