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Author:   Yuriy Polozov
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032214867

ISBN 10:   3032214866
Pages:   322
Publication Date:   16 May 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

Possibly sources of intense GIC in October 2024.- Response of the middle atmosphere and ionosphere to different intensities of energetic electron precipitation.- Payload for the Study of Atmospheric Gamma-Ray Flashes and Transient Phenomena onboard Small Satellite “Scorpion”.- Numerical forecast of thunderstorms over the metropoli-tan area taking into account different aerosol loads.- Regional lightning density parameterization based on volumes with a certain radar reflectivity.Lithospheric-ionospheric interaction and its accompanying phenomena.- Modeling of principle stress axis orientation to investigate anisotropy of pre-seismic geoacoustic radiation.- Comparative analysis of numerical methods for solving a mathematical model high-frequency geoacoustic emission.- Neural-Detector of High-Frequency Acoustic Emission Anomalies in Periods Preceding and Following Strong Earthquakes in Kamchatka.- Variations in the parameters of electromagnetic field for strong and weak earthquakes in the Northern Tien Shan.- Statistical analysis of ionospheric disturbances preceding the occurrence of earthquakes in the Kamchatka region.- Short-term earthquake prediction using digital communication methods.- Applying neural network methods for acoustic signals processing in earthquake prediction.

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Author Information

Dr. Polozov Yuriy is Senior Researcher at the Laboratory of System Analysis of Atmospheric Processes at Institute of Cosmophysical Research and Radio Wave Propagation and holds Ph.D. (Candidate of technical sciences). The fields of study include analysis of complex signals, natural data processing by wavelets, neural networks, ionospheric processes, geomagnetic data, signal anomalous features.

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