The scope of application of generative artificial intelligence (GAI) in industrial functions is
gaining high prominence in academic and industrial discourses. In this article, we explore …

Predictive analytics is transforming the maintenance and reliability of satellite
telecommunications infrastructure, offering proactive solutions to prevent downtime and …

Purpose: Green computing is a way of using the computer resource in an eco-friendly while
maintaining and decreasing the harmful environmental impact. Minimising toxic materials …

Deep Learning is penetrating most of the recognition and classification tasks performed
through a computer or machine. Human facial emotion recognition plays an important and …

Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …

The healthcare sector is under pressure to embrace new technologies that are available on
the market in order to enhance the overall quality of their services. Telecommunications …

The main novelty of this paper is proposing artificial intelligence (AI) to manage behavioural
biases in the financial decision-making process. An empirical study by Kahneman and …

Background Paediatric appendicitis may be challenging to diagnose, and outcomes difficult
to predict. While diagnostic and prognostic scores exist, artificial intelligence (AI) may be …

Every area of knowledge has been digitized since the advent of the computer, allowing
individuals who have access to computer resources to access the information available. As …