| Haruni, AMO and Negnevitsky, M, “An Artificial Intelligence Approach to Develop a Time-Series Prediction Model of The Arc Furnace Resistance”, Journal of Advanced Computational Intelligence, 14 (6) pp. 722-728. ISSN 1343-0130 (2010) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Information and Computing Sciences |
| Research Group | Computer vision and multimedia computation |
| Research Field | Computer vision |
| Research Objective Division | Information and Communication Services |
| Research Objective Group | Communication technologies, systems and services |
| Research Objective Field | Network systems and services |
| Visit Item on eCite | http://ecite.utas.edu.au/66905 |
| Digital Object Identifier | doi:10.20965/jaciii.2010.p0722 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Number of Times Cited | 3 |
