Name
Abstract | ||
|---|---|---|
Method of computer diagnosing is proposed by using the cluster analysis that allowed formalizing the complex processes of the identification and preventing the emergency conditions of quasi-stationary control objects. The method creates a possibility of the real time diagnosis and differentiation of diagnosed conditions as well as accounting the sliding correlation characteristics. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IDAACS.2013.6662665 | IDAACS), 2013 IEEE 7th International Conference |
Keywords | Field | DocType |
computer aided analysis,emergency management,statistical analysis,cluster analysis,complex processes,computer diagnosing method,diagnosed condition differentiation,emergency condition identification,emergency condition prevention,quasistationary control object,real time diagnosis,sliding correlation characteristics,cluster analysis,control object,correlation characteristics,diagnosing conditions | Computer science,Emergency management,Artificial intelligence,Machine learning,Statistical analysis | Conference |
Volume | ISBN | Citations |
01 | 978-1-4799-1426-5 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nadia Shyrmovska | 1 | 0 | 0.34 |
| Yaroslav Nykolaychuk | 2 | 0 | 1.69 |
| Artur Voronych | 3 | 0 | 0.68 |
| Tetyana Zavedyuk | 4 | 0 | 0.34 |