03545nam a22005175i 4500 978-3-031-70595-3 DE-He213 20251030113242.0 cr nn 008mamaa 241024s2024 sz | s |||| 0|eng d 9783031705953 978-3-031-70595-3 10.1007/978-3-031-70595-3 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Machine Learning Methods in Systems [electronic resource] : Proceedings of 13th Computer Science On-line Conference 2024, Vol. 4 / edited by Radek Silhavy, Petr Silhavy. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 520 p. 193 illus., 139 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 1126 -- 1: Extrapolation of periodic signal with Poisson noise using neural networks. -- 2: Method for Complexing Information From Intelligent Sensors of Mobile Components of Monitoring Systems. -- 3: Using regression models to analyze data. -- 4: Improving Password Generation Algorithm with Parallellism: comparative performance study. -- 5: Assessing the Feasibility of Implementing Information Systems and Management Systems Projects Using Fuzzy Modeling Tools. -- 6: Semi-phenomenological approach to the description of gold nanoclusters. -- 7: “Imaginary boundary” method in studying the optical properties of ordered nanostructures. -- 8: A method for controlling the efficiency of second harmonic generation by controlled change in the refractive index of an external dielectric medium. -- 9: Study of the properties of selectively transparent metasurfaces tunable through external control of the properties of 2D materials, etc. This book requires an in-depth exploration of machine learning and its integration into system engineering. This book presents contemporary research methodologies, with a strong focus on the innovative application of machine learning techniques in developing and optimizing systems. It includes the meticulously reviewed proceedings from the Machine Learning Methods in Systems session of the 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024. Computational intelligence. 64052 Software engineering. 33953 Computational Intelligence. 64052 Software Engineering. 33953 Silhavy, Radek. editor. (orcid)0000-0002-5637-8796 https://orcid.org/0000-0002-5637-8796 edt http://id.loc.gov/vocabulary/relators/edt 71182 Silhavy, Petr. editor. edt http://id.loc.gov/vocabulary/relators/edt 71183 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031705946 Printed edition: 9783031705960 Lecture Notes in Networks and Systems, 2367-3389 ; 1126 https://doi.org/10.1007/978-3-031-70595-3 ZDB-2-INR ZDB-2-SXIT 64442 64442