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1
The Prediction of the Dst-Index Based on Machine Learning Methods
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Artigo
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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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Artigo
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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
Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning
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Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning

Shirokii, Nikolai ; Din, Yevgeniya ; Petrov, Ilya ; Seregin, Yurii ; Sirotenko, Sofia ; Razlivina, Julia ; Serov, Nikita ; Vinogradov, Vladimir

Small (Weinheim an der Bergstrasse, Germany), 2023-05, Vol.19 (19), p.e2207106-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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4
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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5
I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works
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I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works

Dolenko, S. A.

Pattern recognition and image analysis, 2023-12, Vol.33 (4), p.1564-1586 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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6
Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles
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Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles

Jyakhwo, Susan ; Serov, Nikita ; Dmitrenko, Andrei ; Vinogradov, Vladimir V.

Small (Weinheim an der Bergstrasse, Germany), 2024-02, Vol.20 (6), p.e2305375-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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7
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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8
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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9
Researchers from Lomonosov Moscow State University Report Findings in Machine Learning
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Newsletter Articles
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Researchers from Lomonosov Moscow State University Report Findings in Machine Learning

Journal of Engineering, 2021, p.2374

NewsRX LLC

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