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Refinado por: assunto: Neural Networks remover
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1
The Prediction of the Dst-Index Based on Machine Learning Methods
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The Prediction of the Dst-Index Based on Machine Learning Methods

Efitorov, A. O. ; Myagkova, I. N. ; Shirokii, V. R. ; Dolenko, S. A.

Cosmic research, 2018-11, Vol.56 (6), p.434-441 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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2
Short- and Medium-range Prediction of Relativistic Electron Flux in the Earth’s Outer Radiation Belt by Machine Learning Methods
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Short- and Medium-range Prediction of Relativistic Electron Flux in the Earth’s Outer Radiation Belt by Machine Learning Methods

Myagkova, I. N. ; Shirokii, V. R. ; Shugai, Yu. S. ; Barinov, O. G. ; Vladimirov, R. D. ; Dolenko, S. A.

Russian meteorology and hydrology, 2021-01, Vol.46 (3), p.163-171 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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3
Prediction of relativistic electron flux in the Earth’s outer radiation belt at geostationary orbit by adaptive methods
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Prediction of relativistic electron flux in the Earth’s outer radiation belt at geostationary orbit by adaptive methods

Myagkova, I. N. ; Dolenko, S. A. ; Efitorov, A. O. ; Shirokii, V. R. ; Sentemova, N. S.

Geomagnetism and Aeronomy, 2017, Vol.57 (1), p.8-15 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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4
The Use of Coupling Functions in the Forecasting of the Dst-Index Amplitude with Adaptive Methods
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The Use of Coupling Functions in the Forecasting of the Dst-Index Amplitude with Adaptive Methods

Myagkova, I. N. ; Shirokii, V. R. ; Kalegaev, V. V. ; Barinov, O. G. ; Dolenko, S. A.

Geomagnetism and Aeronomy, 2021, Vol.61 (1), p.138-147 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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5
Prediction of the Dst Geomagnetic Index Using Adaptive Methods
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Prediction of the Dst Geomagnetic Index Using Adaptive Methods

Myagkova, I. N. ; Shirokii, V. R. ; Vladimirov, R. D. ; Barinov, O. G. ; Dolenko, S. A.

Russian meteorology and hydrology, 2021-01, Vol.46 (3), p.157-162 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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6
Comparison of the Efficiency of Machine Learning Methods in Studying the Importance of Input Features in the Problem of Forecasting the Dst Geomagnetic Index
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Comparison of the Efficiency of Machine Learning Methods in Studying the Importance of Input Features in the Problem of Forecasting the Dst Geomagnetic Index

Vladimirov, R. D. ; Shirokiy, V. R. ; Myagkova, I. N. ; Barinov, O. G. ; Dolenko, S. A.

Geomagnetism and Aeronomy, 2023-04, Vol.63 (2), p.161-171 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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7
The Significance of Input Features for Domain Adaptation of Spacecraft Data
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The Significance of Input Features for Domain Adaptation of Spacecraft Data

Karimov, E. Z. ; Myagkova, I. N. ; Shirokiy, V. R. ; Barinov, O. G. ; Dolenko, S. A.

Cosmic research, 2023-12, Vol.61 (6), p.554-560 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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8
Recognition of Geomagnetic Storm Based on Neural Network Model Estimates of Dst Indices
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Recognition of Geomagnetic Storm Based on Neural Network Model Estimates of Dst Indices

Belov, A. V. ; Gvishiani, A. D. ; Getmanov, V. G. ; Kovylyaeva, A. A. ; Soloviev, A. A. ; Chinkin, V. E. ; Yanke, V. G. ; Yashin, I. I.

Journal of computer & systems sciences international, 2022, Vol.61 (1), p.54-64 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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9
Machine learning-assisted prediction of the toxicity of silver nanoparticles: a meta-analysis
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Machine learning-assisted prediction of the toxicity of silver nanoparticles: a meta-analysis

Bilgi, Eyup ; Karakus, Ceyda Oksel

Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology, 2023-08, Vol.25 (8), p.157, Article 157

Dordrecht: Springer Netherlands

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10
The Short‐Time Prediction of the Energetic Electron Flux in the Planetary Radiation Belt Based on Stacking Ensemble‐Learning Algorithm
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The Short‐Time Prediction of the Energetic Electron Flux in the Planetary Radiation Belt Based on Stacking Ensemble‐Learning Algorithm

Tang, Rongxin ; Tao, Yuhao ; Li, Jiahao ; Chen, Zhou ; Deng, Xiaohua ; Li, Haimeng

Space Weather, 2022-02, Vol.20 (2), p.n/a [Periódico revisado por pares]

Washington: John Wiley & Sons, Inc

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