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The rapid expansion of 5G networks and increasing user equipment (UEs) necessitate innovative approaches for improved energy efficiency. UE-to-UE communication is a promising solution, leveraging nearby UEs for efficient data transfer and reducing ...

The article describes a way to improve the quality of product control processes in food production by means of neural network and neuro-fuzzy methods, models, and tools. It is proposed to use feature extraction using convolutional networks with ...

The paper proposes a software and hardware model for organizing parallel computing on hybrid computing clusters, aimed at creating tools for converting parallel programs into a hybrid form. A method has been developed for organizing the execution ...

The use of artificial intelligence technologies in image analysis tasks is rapidly developing every year, thanks to which the possibilities of using artificial neural networks in the diagnosis of various diseases have reached a completely new ...

The article examines the scientific and practical problem of increasing the energy and resource efficiency of chemical and technological processes to produce phosphorite pellets from waste apatite–nepheline ores. A promising way to solve this ...

Industrial development of structures of electrical power, electromechanical, and thermal technology complexes has a direct impact on the development of intelligent data distribution using the TCP/IP protocol. Existing traffic distribution and ...

Distributed networks have gained increasing popularity due to their high reliability, resource-sharing convenience, and ample bandwidth. Distributed networks play a pivotal role in enabling a wide range of applications, including wireless sensor networks,...

This Hot Off the Press paper summarizes our recent work "Soft computing methods in the solution of an inverse heat transfer problem with phase change: A comparative study" published in Engineering Applications of Artificial Intelligence [5]. In the paper,...

One of the major areas of machine learning application is in medical diagnosis. Machine learning algorithms can detect patterns in patients’ data and generates a diagnosis based on those patterns. There are several machine learning ...

The widespread adoption of electric vehicles (EVs) has brought significant advancements in transportation technology, addressing the challenges of environmental sustainability and reducing dependence on fossil fuels. However, one of the critical ...

The Slowloris attack, a variant of the slow Denial-of-Service (DoS) attack, is a stealthy threat that aims to take down web services provided by companies and institutions. It is able to pass through the traditional defense systems, due to the low amount ...

In software development, a bug can occur due to multiple failures in software, and it may require multiple developers to fix it. In machine learning approaches, the bugs are assigned to a developer with a clear-cut outcome based on the agreed level of ...

This paper is dedicated to the development and research of the advanced IoT-based fuzzy control system of the irrigation process for smart farming complexes of various types. The proposed automatic control system makes it possible to attain sufficiently ...

In an IoT enabled network, a variety of devices are interconnected to each other and communicate by using ultra low power communication technology known as time slotted channel hopping mechanism. To transmit information accurately, efficiently and in ...

In recent years, the human-to-human and human-to-things relationships are becoming complicated and unreliable, which makes harder decisions in a variety of situations. As a result, trust computing is gaining interest in a number of research fields. The ...

Wireless connectivity may not be available in congested locations (such as concerts or conference-halls) or may be interrupted by infrastructure outages caused by earthquakes and tsunamis. They are the great boon when it comes to device-to-device ...

Video games are becoming a part of the lives of many, many people. They are able to evoke a wide range of emotions, from joy and excitement to fear and empathy, creating deep immersion and memorable impressions for players. How do they manage it ...

Computer games are widespread nowadays and enjoyed by people of all ages. But when it comes to kids, playing these games can be more than just fun—it's a way for them to develop important skills and build emotional intelligence. Facial expressions ...

This study aims to evaluate the quality of physical education in colleges and universities by using the evaluation method based on fuzzy logic. First, summarize the basic concept of fuzzy logic and its application in the evaluation process. Then, a ...

Establishing a closed-loop system that could facilitate the reusing, renovation, and recycling of the various garbage products generated by this business could prove significant value to the particular business chains involved. A system of shipping that ...