Autom Remote Control
 2021
DOI: 10.1134/s0005117921100052
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Detecting and Identifying Anomalous Effects in Complex Signals

V. V. Geppener
1
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Bogdana Mandrikova
2
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Cited by 4 publications
(1 citation statement)
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“…Natural time series contain noise formed under a large variety of natural and manmade factors [15]. To improve the quality of natural data analysis based on neural networks, according to the papers [16], we applied noise suppression operations.…”
Section: Application Of Wavelet Transform and Threshold Functionmentioning
confidence: 99%

Natural Data Analysis Method Based on Wavelet Filtering and NARX Neural Networks

Mandrikova,
Polozov,
Mandrikova
2023
15th International Conference &Amp;ldquo;Intelligent Systems” (INTELS’22)
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“…Natural time series contain noise formed under a large variety of natural and manmade factors [15]. To improve the quality of natural data analysis based on neural networks, according to the papers [16], we applied noise suppression operations.…”
Section: Application Of Wavelet Transform and Threshold Functionmentioning
confidence: 99%

Natural Data Analysis Method Based on Wavelet Filtering and NARX Neural Networks

Mandrikova,
Polozov,
Mandrikova
2023
15th International Conference &Amp;ldquo;Intelligent Systems” (INTELS’22)
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Automatic detection of auroral Pc5 geomagnetic pulsation using machine learning approach guided with discrete wavelet transform

Omondi
1
,
Yoshikawa
2
,
Zahra
3
et al. 2023
Advances in Space Research
6
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A machine learning approach combined with wavelet analysis for automatic detection of Pc5 geomagnetic pulsations observed at geostationary orbits

Pappoe,
Yoshikawa,
Kandil
et al. 2023
Advances in Space Research
3
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