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It presents an improvement of the previously described methodology using the activation function of neurons, which enhances the speed of data processing and the quality of event identification, as well as reducing spatial distortions. The possibility of using a cheaper radiation source in DAS setups is demonstrated. Optimal algorithms\u2019 combinations are proposed for different types of the events recorded. The criterion for evaluating the effectiveness of algorithm performance was an increase in the signal-to-noise ratio (SNR). The finest effect achieved with a combination of algorithms provided an increase in SNR of 10.8 dB. The obtained results can significantly expand the application scope of DAS.<\/jats:p>","DOI":"10.3390\/a16090440","type":"journal-article","created":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T05:08:21Z","timestamp":1694581701000},"page":"440","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Activation Function Dynamic Averaging as a Technique for Nonlinear 2D Data Denoising in Distributed Acoustic Sensors"],"prefix":"10.3390","volume":"16","author":[{"given":"Artem T.","family":"Turov","sequence":"first","affiliation":[{"name":"General Physics Department, Applied Mathematics and Mechanics Faculty, Perm National Research Polytechnic University, Prospekt Komsomolsky 29, 614990 Perm, Russia"},{"name":"Perm Federal Research Center of the Ural Branch of the Russian Academy of Sciences (PFRC UB RAS), 13a Lenin St., 614000 Perm, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1890-6906","authenticated-orcid":false,"given":"Fedor L.","family":"Barkov","sequence":"additional","affiliation":[{"name":"Perm Federal Research Center of the Ural Branch of the Russian Academy of Sciences (PFRC UB RAS), 13a Lenin St., 614000 Perm, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7820-7736","authenticated-orcid":false,"given":"Yuri A.","family":"Konstantinov","sequence":"additional","affiliation":[{"name":"Perm Federal Research Center of the Ural Branch of the Russian Academy of Sciences (PFRC UB RAS), 13a Lenin St., 614000 Perm, Russia"}]},{"given":"Dmitry A.","family":"Korobko","sequence":"additional","affiliation":[{"name":"S.P. Kapitsa Research Institute of Technology, Ulyanovsk State University, 42 Leo Tolstoy Street, 432970 Ulyanovsk, Russia"}]},{"given":"Cesar A.","family":"Lopez-Mercado","sequence":"additional","affiliation":[{"name":"Scientific Research and Advanced Studies Center of Ensenada (CICESE), Ensenada 22860, BC, Mexico"},{"name":"Electromagnetism and Telecommunication Department, University of Mons, B-7000 Mons, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8086-8218","authenticated-orcid":false,"given":"Andrei A.","family":"Fotiadi","sequence":"additional","affiliation":[{"name":"Electromagnetism and Telecommunication Department, University of Mons, B-7000 Mons, Belgium"},{"name":"Optoelectronics and Measurement Techniques Unit, University of Oulu, 90570 Oulu, Finland"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Karapanagiotis, C., and Krebber, K. (2023). 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