Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …

Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

The application of emerging technologies, such as Artificial Intelligence (AI), entails risks that
need to be addressed to ensure secure and trustworthy socio-technical infrastructures …

Membrane distillation (MD) is a non-isothermal separation process applied mainly in
desalination for the treatment of saline aqueous solutions including brines for distilled water …

Despite the impressive performance of Artificial Intelligence (AI) systems, their robustness
remains elusive and constitutes a key issue that impedes large-scale adoption. Besides …

Machine Learning (ML) has become a valuable asset to solve many real-world tasks. For
Network Intrusion Detection (NID), however, scientific advances in ML are still seen with …

Utilizing machine learning (ML)-based approaches for network intrusion detection systems
(NIDSs) raises valid concerns due to the inherent susceptibility of current ML models to …

The rapid development of Machine Learning (ML) has demonstrated superior performance
in many areas, such as computer vision and video and speech recognition. It has now been …

The organic Rankine cycle (ORC) is widely acknowledged as a sustainable power cycle.
However, the traditional approach commonly adopted for its optimal design involves …

Purpose The purpose of this paper is to highlight the key technical challenges that derive
from the recently proposed European Artificial Intelligence Act and specifically, to investigate …