Analysis and modeling of price changes on the exchange market based on structural market data

B Bebeshko, K Khorolska… - 2021 IEEE 8th …, 2021 - ieeexplore.ieee.org
The securities market, also known as the stock market, is a public trading platform for trading
stocks of various companies. Forecasting in the stock market is an attempt to determine the …

Information and Intelligent Forecasting Systems Based on the Methods of Neural Network Theory

Y Kostiuk, O Kryvoruchko, A Desyatko… - … on Smart Information …, 2023 - ieeexplore.ieee.org
This paper is dedicated to the problem of the research of the information and intelligent
forecasting systems which solve the problems of regression analysis. This class of the …

ШЛЯХИ ПОБУДОВИ ІНТЕЛЕКТУАЛЬНОЇ СИСТЕМИ УПРАВЛІННЯ АГРОФІРМОЮ

А Тарасюк, В Гамалій… - … фахове наукове видання …, 2023 - csecurity.kubg.edu.ua
Анотація У даній публікації досліджується проблема побудови інтелектуальної системи
управління для аграрної компанії. Інтелектуальна система управління аграрним …

[PDF][PDF] IoT Devices Integration and Protection in available Infrastructure of a University computer Network

G Daukeyev - Journal of Theoretical and Applied Information …, 2021 - jatit.org
With every passing year computer network security requires new approaches to its structure.
Taking into consideration the development of IoT devices and their active integration in such …

[PDF][PDF] Assessing neural network accuracy algorithm in graphic content recognition

A Sahun, V Khaidurov, V Lakhno - 2024 - ceur-ws.org
The study presents the results of applying the main known metrics used to evaluate the
performance and accuracy of algorithms and neural network models on different classes for …

[PDF][PDF] Evaluation of the accuracy of the neural network algorithm for object recognition in security systems

A Sahun, V Khaidurov, V Lakhno - 2024 - ceur-ws.org
The study presents the results of applying the main known metrics used to evaluate the
performance and accuracy of algorithms and neural network models on different classes for …

[PDF][PDF] Model of Graphic Object Identification in a Video Surveillance System based on a Neural Network

A Sahun, V Khaidurov, V Bobkov - 2024 - ceur-ws.org
The object identification system, given the correct model selection and settings, enables
accurate and fast identification of graphical objects in video data. A deep learning neural …

[PDF][PDF] Pattern Identification System Based on a Neural Network with Deep Learning

АВ Сагун, В Хайдров - futurity-publishing.com
Accepted: July 3, 2024| Published: July 17, 2024| Language: Ukrainian Abstract: The
developed object identification system is based on neural networks (NN) with deep learning …