03308nam a22004695i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220245017700235250001800412264006900430300006600499336002600565337002600591338003600617347002400653490006200677505095000739520048501689650003902174650003302213650003902246650003302285700015102318700008302469710003402552773002602586776003602612776003602648830006202684856004602746912001402792912001502806999001702821978-3-031-70595-3DE-He21320251030113242.0cr nn 008mamaa241024s2024    sz |    s    |||| 0|eng d  a97830317059539978-3-031-70595-37 a10.1007/978-3-031-70595-32doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aMachine Learning Methods in Systemsh[electronic resource] :bProceedings of 13th Computer Science On-line Conference 2024, Vol. 4 /cedited by Radek Silhavy, Petr Silhavy.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXV, 520 p. 193 illus., 139 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Networks and Systems,x2367-3389 ;v11260 a -- 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.  aThis 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. 0aComputational intelligence.964052 0aSoftware engineering.93395314aComputational Intelligence.96405224aSoftware Engineering.9339531 aSilhavy, Radek.eeditor.0(orcid)0000-0002-5637-87961https://orcid.org/0000-0002-5637-87964edt4http://id.loc.gov/vocabulary/relators/edt9711821 aSilhavy, Petr.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9711832 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303170594608iPrinted edition:z9783031705960 0aLecture Notes in Networks and Systems,x2367-3389 ;v112640uhttps://doi.org/10.1007/978-3-031-70595-3  aZDB-2-INR  aZDB-2-SXIT  c64442d64442