On some classifiers based on multivariate ranks
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1366520
Abstract: ABSTRACT Non parametric approaches to classification have gained significant attention in the last two decades. In this paper, we propose a classification methodology based on the multivariate rank functions and show that it is a… read more here.
Keywords: based multivariate; classifiers based; methodology; multivariate ranks ... See more keywords
Comparative Study of the Dynamic Back-Analysis Methods of Concrete Gravity Dams Based on Multivariate Machine Learning Models
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Earthquake Engineering"
DOI: 10.1080/13632469.2018.1452802
Abstract: ABSTRACT Two different back-analysis frameworks based on multivariate machine learning models used to determine the material dynamic parameters of concrete gravity dams are proposed. For the framework I, the back-analysis is performed by solving an… read more here.
Keywords: machine; machine learning; multivariate machine; based multivariate ... See more keywords
An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3265118
Abstract: With the development of wind energy, the condition monitoring (CM) methods of wind turbines (WTs) based on supervisory control and data acquisition (SCADA) data have attracted much attention to detect potential faults. With the impact… read more here.
Keywords: condition monitoring; based multivariate; wind turbines; multivariate state ... See more keywords