- Details
- Category: 2024
S. A. Soldatenko Artificial Intelligence and Its Application in Numerical Weather Prediction |
5 |
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V. V. Asmus, V. D. Bloshchinskiy, L. S. Kramareva, M. O. Kuchma, Preliminary Data Processing of the MSU-GS/VE Device Aboard the Arktika-M No. 1 Highly Elliptical Satellite Using Artificial Intelligence Methods |
28 |
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V. D. Bloshchinskiy, A. I. Andreev, L. S. Kramareva, and A. N. Davidenko Satellite Data Processing in the Interests of Hydrometeorology Using Neural Network Technologies: The Approaches Used at Planeta State Research Center on Space Hydrometeorology |
35 |
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K. G. Kortikova and I. A. Bychkova Application of Convolutional Neural Networks for Detecting Sea Ice Leads in the Laptev Sea with Landsat-8 Satellite Imagery |
47 |
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V. V. Chursin and A. A. Kostornaya Application of Deep Neural Networks for Detecting Probable Areas of Precipitation and Thunderstorms |
55 |
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M. O. Kuchma Application of Physical and Neural Network Methods in Operational Water Surface Detection |
67 |
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A. E. Shishov A Method for Object-oriented Detection of Deep Convection from Geostationary Satellite Imagery Using Machine Learning |
78 |
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N. Yu. Zakhvatkina, I. A. Bychkova, and V. G. Smirnov Using the Neural Network Technique for Lead Detection in Radar Images of the Arctic Sea Ice Cover |
91 |
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A. E. Sumachev, L. S. Banshchikova, and S. A. Griga Using Neural Network Methods for Peak Water Level Prediction: A Case Study for the Dvina-Pechora Basin Rivers |
104 |
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O. V. Kalmykova Using Machine Learning Methods to Develop an Algorithm for Recognizing a Risk of Waterspout Occurrence off the Black Sea Coast of Russia |
116 |
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A. M. Smetanina, S. A. Gromov, V. A. Obolkin, T. V. Khodzher, Assessment of Atmospheric Ozone from Reanalysis and Ground-based Measurements in the Baikal Region |
126 |
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P. V. Kulizhskaya A Method for Predicting Fog and Identifying Its Type Based on Neural Networks for the St. Petersburg (Pulkovo) Airfield |
133 |
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CHRONICLE |
V. A. Trenin (to the 70th Birthday) |
144 |