Modeling the Productivity of a Sugar Factory using Machine Learning Methods

N Lutska, L Vlasenko, N Zaiets… - 2022 IEEE 17th …, 2022 - ieeexplore.ieee.org
Relevant today is the digitalization of industrial enterprises, which is an evolutionary
continuation of the introduction of MES/MOM. At the same time, an important role is played …

Research of roof solar power plant in hot water supply installations.

V Nalyvaiko, I Radko, O Okushko… - Przeglad …, 2023 - search.ebscohost.com
English Hot water supply system is controlled by a microprocessor system based on neural
network that allows utilizing solar panels capacity at a maximum level in the most efficient …

Neural Network Model for Predicting Technological Losses of a Sugar Factory

N Zaiets, L Vlasenko, N Lutska - Conference on Automation, 2023 - Springer
To ensure the implementation of the concepts of Industry 4.0 and Lean 4.0 in order to
improve the efficiency of the functioning of a manufacturing enterprise, it is necessary not …

Neural network model for predicting the resource efficiency of the defecosaturation department of a sugar factory

L Vlasenko, N Zaiets, N Lutska, O Savchuk - International Conference on …, 2022 - Springer
The article proposes a model of the defecosaturation department of a sugar beet processing
plant based on a neural network, which predicts the main indicators of the efficiency of …

Development of a prototype of an intelligent system for predicting the quality of dairy manufacture

Y Smitiukh, Y Samoilenko, Y Kostiuk… - 2022 IEEE 11th …, 2022 - ieeexplore.ieee.org
The technological process of the churning process in continuous butter manufacture were
considered. The qualitative indicator of the water content of butter was modeled on the basis …

Using Node-Red to Visualize Dairy Production Data via Modbus

Y Samoilenko, Y Smitiukh, Y Kostiuk… - Conference on …, 2024 - Springer
The dairy industry is under consideration, namely the possibility of collecting data from
sensors of the technological process of whipping cream into butter to assess the quality of …

Intelligent Operational Decision Support System for Sugar Factory Resource Efficiency

N Lutska, N Zaiets, L Vlasenko… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
With the economic crisis that is looming over the world due to changes in the energy sector
and a reduction in the supply of certain types of products, energy and resource efficiency …

Improving the Efficiency of a Multistage Evaporator Station for Sugar Production Using Neural Networks

N Zaiets, N Lutska, L Vlasenko - 2022 IEEE 4th International …, 2022 - ieeexplore.ieee.org
The paper shows the process of developing a model of multistage evaporator station of a
sugar factory based on a neural network. The neural network predicts the main performance …

Using Node-Red to Visualize Dairy Production

K Stepashkina, D Hnatchenko… - … 2024: Advances in … - books.google.com
The dairy industry is under consideration, namely the possibility of collecting data from
sensors of the technological process of whipping cream into butter to assess the quality of …

[PDF][PDF] Прогнозування ре-сурсоефективності цукро-вого заводу на основі ней-ромережевих моделей

НМ Луцька, ЛО Власенко, НА Заєць - Редакційна колегія, 2023 - dspace.nuft.edu.ua
Використано сучасні методи побудови високоефективних автоматизованих підсистем
підтримки прийняття рішень відповідно до концепції Індустрії 4.0, зокрема методи …