Velichko / Kapralova / Karaseov International Youth Conference on Electronics, Telecommunications and Information Technologies

Proceedings of the YETI 2021, St. Petersburg, Russia
2022
ISBN: 978-3-030-81119-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 268, 599 Seiten, eBook

Reihe: Springer Proceedings in Physics

This book presents peer-reviewed and selected papers of the International Youth Conference on Electronics, Telecommunications, and Information Technologies (YETI-2021), held in Peter the Great St. Petersburg Polytechnic University, St. Petersburg, on April 22–23, 2021. For the third time around, the conference brings together students and early career scientists, serving to disseminate the current trends and advances in electronics, telecommunications, optical, and information technologies. A series of workshops and poster sessions focusing, in particular, on the theoretical and practical challenges in nanotechnologies, photonics, signal processing, and telecommunications allow to establish contacts between potential partners, share new ideas, and start new collaborations. The conference is held in an online format, thus considerably expanding its geographical reach and offering an even wider scope of discussion.

Zielgruppe

Research

Autoren/Hrsg.

Velichko, Elena

Kapralova, Viktoria

Karaseov, Platon

Zavjalov, Sergey

Angueira, Pablo

Andreev, Sergey

Inhaltsverzeichnis

Synthesis and Analysis of Avionics Functions Digital Twins Using Machine Learning Classi?cation Algorithms.- On the Application of a Fully Connected Neural Network for Multifrequency Signals Demodulation.- Automated Power Ampli?er Design through Multiobjective Bottom-Up and Particle Swarm Optimizations using Neural Network.- Investigation of Super-Resolution Methods for Processing a Sequence of Aerial Photographs.- On the Classi?cation of OFDM Signals Modulation Types Using Neural Networks.- Use of the Method of Setting the Interval Target in the Problem of Synthesis of a Neural Network Classi?er for Diagnosing Chronic Kidney Disease in Patients.