Meander Structure Analysis Techniques Using Artificial Neural Networks

Autor: Diana Belova-Plonienė, Audrius Krukonis, Vytautas Abromavičius, Artūras Serackis, Vytautas Urbanavičius, Andrius Katkevičius

Publikováno v: Applied Sciences, Vol 14, Iss 13, p 5766 (2024)

Typically, analyses of meander structures (MSs) for transfer characteristics are conducted using specialized commercial software based on numerical methods. However, these methods can be time-consuming, particularly when a researcher is seeking to pe

Externí odkaz: https://doaj.org/article/2fd312e5aa8144b8a539357d5674f834

UAV Detection Using Thrust Engine Electromagnetic Spectra

Autor: Tomas Jačionis, Vytautas Urbanavičius, Andrius Katkevičius, Vytautas Abromavičius, Artūras Serackis, Tomyslav Sledevič, Darius Plonis

Publikováno v: Drones, Vol 6, Iss 10, p 306 (2022)

Artificial intelligence used in unmanned aerial vehicle (UAV) flight control systems tends to leave UAV control systems without any radio communication emissions, whose signatures in an electromagnetic spectrum (ES) are widely used to detect UAVs. Th

Externí odkaz: https://doaj.org/article/a906ace13dd54013ae5f1b7583612145

Modelling microwave devices using artificial neural networks / Mikrobangų įtaisų modeliavimas, taikant dirbtinių neuronų tinklus

Autor: Andrius Katkevičius

Publikováno v: Mokslas: Lietuvos Ateitis, Vol 4, Iss 1 (2012)

Artificial neural networks (ANN) have recently gained attention as fast and flexible equipment for modelling and designing microwave devices. The paper reviews the opportunities to use them for undertaking the tasks on the analysis and synthesis. The

Externí odkaz: https://doaj.org/article/26da230b160a475593a044819f00262f

Building façade style classification from UAV imagery using a Pareto-optimized deep learning network

Autor: Rytis Maskeliūnas, Andrius Katkevičius, Darius Plonis, Tomyslav Sledevič, Adas Meškėnas, Robertas Damaševičius

Publikováno v: Electronics; Volume 11; Issue 21; Pages: 3450

The article focuses on utilizing unmanned aerial vehicles (UAV) to capture and classify building façades of various forms of cultural sites and structures. We propose a Pareto-optimized deep learning algorithm for building detection and classificati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1549eb6e809d9821eb38d1948c9c28f8
https://doi.org/10.3390/electronics11213450

Meander Conductor Shape Influence on the Electrodynamic Parameters of the Meander Structures

Autor: Diana Belova-Plonienė, Andrius Katkevičius

Publikováno v: Electrical, Control and Communication Engineering, Vol 16, Iss 1, Pp 51-57 (2020)
The Scientific Journal of Riga Technical University-Electrical, Control and Communication Engineering; Vol 16, No 1 (2020): Electrical, Control and Communication Engineering; 51-57

– Meander structures allows reducing the size of the microwave devices while keeping the same operational characteristics. The shape of meander makes a big impact to the operation of microwave devices. Therefore, the structure of meander is widely

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7849f51154a8070fc14d28ba443a5d44
https://doaj.org/article/c510b77d816e47c6a7279fe43f3def3d