Details

Title

Detection and elimination of unwanted spikes (artifacts) in rotational seismographic signals using artificial intelligence

Journal title

Opto-Electronics Review

Yearbook

2025

Volume

33

Issue

4

Authors

Affiliation

Sakowicz, Bartosz : Department of Microelectronics and Computer Science, Lodz University of Technology, ul. Wólczańska 221, 93-005 Lódź, Poland ; Kamiński, Marek : Department of Microelectronics and Computer Science, Lodz University of Technology, ul. Wólczańska 221, 93-005 Lódź, Poland ; Marciniak, Paweł : Department of Microelectronics and Computer Science, Lodz University of Technology, ul. Wólczańska 221, 93-005 Lódź, Poland ; Jankowski, Mariusz : Department of Microelectronics and Computer Science, Lodz University of Technology, ul. Wólczańska 221, 93-005 Lódź, Poland ; Jaroszewicz, Leszek R. : Institute of Applied Physics, Military University of Technology, ul. gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland ; Jaroszewicz, Leszek R. : Elproma Elektronika Sp. z o.o., ul. Duńska 2A, 05-152 Czosnów, Poland

Keywords

rotational seismograph ; artifact detection ; artificial intelligence ; neural networks ; signal processing

Divisions of PAS

Nauki Techniczne

Coverage

e157333

Publisher

Polish Academy of Sciences (under the auspices of the Committee on Electronics and Telecommunication) and Association of Polish Electrical Engineers in cooperation with Military University of Technology

Date

05.12.2025

Type

Article

Identifier

DOI: 10.24425/opelre.2025.157333

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