Vitalii Mokin

Doctor of Technical Sciences, Professor 
Vinnytsia National Technical University
21021, 95 Khmelnytske Shose Str., Vinnytsia, Ukraine 
https://orcid.org/0000-0003-1946-0202

vbmokin@vntu.edu.ua 

 

Modeling of transport network parameters in the environment of an automated system for searching for optimal solutions

05.08.2010

Vitalii Mokin, Alexander Romaniuk, Viktoria Voitko, Volodymyr Storchak, Oleh Gavenko
  • Keywords transport network, modeling, automated system, graph

Technology for building an information model of a city's transport network based on geoinformation models of its elements

05.08.2010

Vitalii Mokin, Volodymyr Storchak
  • Keywords geographic information systems, information model, traffic flow management, transport network

New approaches to automated creation of a geoinformation database of environmental information

30.11.2012

Vitalii Mokin, Yuriy Bohomolov
  • Keywords automated identification of the structure of a database, ecological information, geoinformational systems

Prediction of coronavirus waves based on the method of weight recovery of the cognitive map to take into account for interregional influence

22.11.2021

Vitalii Mokin*, Mykhailo Dratovanyi, Arsen Losenko, Serhii Zhukov

vbmokin@vntu.edu.ua

  • Keywords cognitive modeling, cognitive map, coronavirus, wave of new confirmed patients, graph theory
  • DOI https://doi.org/10.31649/1999-9941-2021-52-3-86-94

Building an information system for monitoring physical indicators based on the internet of things technology

25.07.2023

Dmytro Honcharenko, Vitalii Mokin*, Dmytro Protsenko

vbmokin@vntu.edu.ua

  • Keywords monitoring system, Internet of Things, sensors, networking technologies, information system, LPWAN, Sigfox, LoRaWAN, NB-IoT, Python
  • DOI https://doi.org/10.31649/1999-9941-2023-57-2-99-108

Method for constructing a cognitive map of processes in a dynamic system using the cooperation of large language models

24.04.2025

Borys Varer*, Vitalii Mokin

androbor17@gmail.com

  • Keywords LLM; generative artificial intelligence; intelligent technology; systems analysis; modelling; forecasting; dynamic system
  • DOI https://doi.org/10.63341/vitce/1.2025.69