• Adsorption process and water quality control 

      Leonavičienė, Teresė (Mathematical Modelling and Analysis [MMA2022] : 25th international conference, May 30 - June 2, 2022, Druskininkai, Lithuania : abstracts, 2022)
      With the increase of urbanization we also have to focus on quality of life. Then, the production volumes increase. During the manufacturing process, potentially toxic elements are used and thus the environment is being ...
    • Artificial neural networks for solving ordinary and partial differential equations 

      Starikovičius, Vadimas (Mathematical Modelling and Analysis [MMA2022] : 25th international conference, May 30 - June 2, 2022, Druskininkai, Lithuania : abstracts, 2022)
      In recent years, deep neural networks have shown the impressive results in solving different tasks in computer vision, natural language processing, game theory, etc. Deep Learning has transformed how categorization, pattern ...
    • Parallel 3D ADI scheme for hybrid dimension model of heat conduction problem 

      Suboč, Olga; Čiegis, Raimondas; Čiegis, Remigijus (Mathematical Modelling and Analysis [MMA2022] : 25th international conference, May 30 - June 2, 2022, Druskininkai, Lithuania : abstracts, 2022)
      The model describes the heat equation in 3D domains, and this problem is reduced to a hybrid dimension problem, keeping the initial dimension only in some parts and reducing it to one-dimensional equation within the domains ...
    • Techniques to improve precision of neural network-based biosensors under effect of noise 

      Dapšys, Ignas; Starikovičius, Vadimas (Mathematical Modelling and Analysis [MMA2022] : 25th international conference, May 30 - June 2, 2022, Druskininkai, Lithuania : abstracts, 2022)
      Biosensors are devices for the detection and analysis of chemical compounds based on biochemical processes [1]. One of the most widespread biosensor types are enzyme-based amperometric biosensors [2], where the sample ...
    • The role of inaccurate assumptions for churn prediction in telecommunications 

      Bugajev, Andrej; Kriauzienė, Rima (Mathematical Modelling and Analysis [MMA2022] : 25th international conference, May 30 - June 2, 2022, Druskininkai, Lithuania : abstracts, 2022)
      This topic is dedicated to the accuracy problem in machine learning due to some assumptions. More specifically, a special case of churn prediction in telecommunications is investigated. The source of the mentioned problem ...
    • Voting-KEMIRA method for determining criteria priority and weights in solving multi-attribute decision making problems 

      Kosareva, Natalja; Krylovas, Aleksandras; Soltanifar, Mehdi (Mathematical Modelling and Analysis [MMA2022] : 25th international conference, May 30 - June 2, 2022, Druskininkai, Lithuania : abstracts, 2022)
      The KEmeny Median Indicator Ranks Accordance (KEMIRA) method [1] is one of the newest Multi-Attribute Decision Making (MADM) methods that is used for problems in which criteria are inherently divided into two or more ...