Analysis of Approximating and Detailing Wavelet Decomposition Coefficients in the Risk Potential Predictive Algorithm
Author:
Affiliation:
1. V.A. Trapeznikov Institute of Control Sciences of RAS,Laboratory of Complex Networks,Moscow,Russia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10303766/10303767/10303789.pdf?arnumber=10303789
Reference18 articles.
1. System Identifiability and Structure Identification: Input and Output Variables Selection Based on Consistent Measures of Dependence
2. Critical Information Infrastructure Facility Status Monitoring: Risk Potential of the Process
3. Hurst exponents based detection of wake-sleep — A pilot study
4. Identification of Systems Based on Minimax Entropy-Information Criteria
5. Forecasting of process parameters using machine learning techniques for wire arc additive manufacturing process
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