Fatih Camci
Orcid: 0000-0002-0078-0890
According to our database1,
Fatih Camci
authored at least 19 papers
between 2004 and 2020.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2020
Machine Health Indicator Construction Framework for Failure Diagnostics and Prognostics.
J. Signal Process. Syst., 2020
2019
Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment.
IEEE Trans. Instrum. Meas., 2019
Feature selection and fault-severity classification-based machine health assessment methodology for point machine sliding-chair degradation.
Qual. Reliab. Eng. Int., 2019
Proceedings of the 16th International Conference on Mining Software Repositories, 2019
2015
Maintenance scheduling of geographically distributed assets with prognostics information.
Eur. J. Oper. Res., 2015
2014
The travelling maintainer problem: integration of condition-based maintenance with the travelling salesman problem.
J. Oper. Res. Soc., 2014
Characterizing conversion points and complex infrastructure systems: Creating a system representation for agent-based modeling.
Complex., 2014
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014
2013
Qual. Reliab. Eng. Int., 2013
2011
IEEE Trans. Ind. Electron., 2011
2010
IEEE Trans Autom. Sci. Eng., 2010
Int. J. Pattern Recognit. Artif. Intell., 2010
2009
IEEE Trans. Reliab., 2009
Proceedings of the Information Technologies in Environmental Engineering, 2009
2008
General support vector representation machine for one-class classification of non-stationary classes.
Pattern Recognit., 2008
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2004
On-line novelty detection for non-stationary classes using a modified support vector machine.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004
Non-stationary data domain description using weighted support vector novelty detector.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004