This paper explored the application of deep learning techniques in network traffic analysis in
telecommunication systems to deal with the increasing complexity and size of modern …

The main problems of processing recommendations in intelligent databases (IDBs) were
considered in the paper. The Funk SVD algorithm was modified to enhance the accuracy …

Conventional signature-driven detection techniques are becoming less and less effective in
protecting computer systems and networks due to the increasing complexity and diversity of …

The main challenges of modern information and communication systems (ICS) in the fight
against cyber threats were analyzed in the work. The necessity of using Recurrent neural …

This paper is dedicated to the selection of a type of tournament selection operator in the
genetic algorithm for solving the traveling salesman problem. An analysis of the …

The research conducted at paper investigated the impact of population size and mutation
probability on the effectiveness of the genetic algorithm's performance when utilizing elitism …

This paper delves into the burgeoning field of the Internet of Things (IoT), focusing on the
pivotal role of LoRaWAN (Long Range Wide Area Network) technology in constructing long …

The problems of automating production processes using the intelligent analysis of big data
were discussed in the paper. Existing methods of processing information from various …

У роботі проаналізовано основні особливості оброблення великих обсягів даних в
промислових smart grid системах. Визначено переваги розподілених обчислень для …