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AI4TI Laboratory

The laboratory develops information systems: from architecture to working versions.

Table of contents:

Information

List of development directions:

  • Development of information systems architecture
  • Web application development
  • Development of mathematical models
  • Development of machine learning models
  • Conducting scientific research

Projects

PalMon

A project in which a hardware and software system was developed to determine damage to cargo on a pallet. The project developed: 1. Information architecture systems 2. Web application for viewing damage information 3. Mathematical model for determining cargo damage 4. Hardware for reading data from a pallet

MacCheck

A project in which a web application has been developed to manage network equipment through a user interface. This information system helps system administrators more easily manage and control equipment in the enterprise.

PowerGuard

A project to identify faults in an electrical circuit signal based on mathematical models and methods. The project implements a web application and a mathematical module that localizes and classifies failures based on the Wavelet transform, optimization methods, parallel algorithms and other mathematical methods.

Emotional View

A project to determine the level of client satisfaction based on the dynamics of the client's emotions. The project used machine learning methods and neural networks. The project includes a hardware and software system for reading time series data on the dynamics of emotions and subsequent prediction of the level of satisfaction.

Pichta

A project in which a web application was implemented to compile a graph of competencies for a user-selected specialization. The system uses up-to-date data on competencies indicated in the latest vacancies of various companies.

Other achievements

MAMGD Optimizer

Gradient optimization method using exponential damping and second-order discrete derivative for neural networks and multidimensional real functions

About

QR-Detect

QR_Detect is a web application for detecting and recognizing QR codes based on video recordings. QR_Detect uses machine learning techniques to localize and translate QR codes into URLs. Data on recognized codes is recorded in a database with additional information.

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Laboratory of digital transformation of business processes in industry

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