International Youth Conference on Electronics, Telecommunications and Information Technologies
Proceedings of the YETI 2021, St. Petersburg, Russia
(Sprache: Englisch)
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...
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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.
Inhaltsverzeichnis zu „International Youth Conference on Electronics, Telecommunications and Information Technologies “
Synthesis and Analysis of Avionics Functions Digital Twins Using Machine Learning Classification Algorithms.- On the Application of a Fully Connected Neural Network for Multifrequency Signals Demodulation.- Automated Power Amplifier 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 Classification 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 Classifier for Diagnosing Chronic Kidney Disease in Patients.Bibliographische Angaben
- 2023, 1st ed. 2022, XXVII, 599 Seiten, 235 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Elena Velichko, Viktoria Kapralova, Platon Karaseov, Sergey Zavjalov, Pablo Angueira, Sergey Andreev
- Verlag: Springer, Berlin
- ISBN-10: 3030811212
- ISBN-13: 9783030811211
Sprache:
Englisch
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