Fog computing, an extension of cloud computing, enhances capabilities by processing data
closer to the source, thereby addressing latency and bandwidth issues inherent in traditional …

As machine learning models are increasingly deployed in production, robust monitoring and
detection of concept and covariate drift become critical. This paper addresses the gap in the …

This paper introduces the Software Quality Assurance as a Service (SQAaaS) concept and it
describes an open-source implementation of a comprehensive platform that supports the …

During the current data era, data analysis across multiple disciplines has become a critical
task for researchers to obtain meaningful insights and solve complex problems that are …

The AI-SPRINT project, launched in 2021 and funded by the European Commission,
focuses on the development and implementation of AI applications across the computing …

With the growth of real-time applications and IoT devices, computation is moving from cloud-
based services to the low latency edge, creating a computing continuum. This continuum …

As machine learning models are increasingly deployed in production, robust monitoring and
detection of concept and covariate drift become critical. This paper addresses the gap in the …

Economic incentives of large criminal profits and the threat of legal consequences have
pushed criminals to continuously improve their malware, especially command and control …

[EN] This project focuses on integrating new capabilities into a serverless web portal based
on the JamStack architecture, allowing deployment and running AI models encapsulated in …