Large-scale scientific experiments increasingly depend on trustworthy data infrastructures and AI-driven workflows to extract reliable insights from complex sensor systems. In the ATLAS experiment at CERN’s LHC, each collision generates heterogeneous information across multiple subdetectors, making the accurate integration of these data streams essential for ensuring reconstruction quality and...
Modern data centres are cyber-physical infrastructures whose reliable operation depends on the continuous interaction of electrical and mechanical subsystems. Detecting anomalous behaviour in these environments is essential for ensuring operational continuity, improving energy efficiency, and enabling early fault prediction.
We present an anomaly-detection case study using Spatio-Temporal...
This paper presents a multilayer architectural model designed to support secure, AI-driven processing of confidential legal documents. The platform integrates strong authentication and authorization mechanisms, ensuring controlled access to sensitive information in accordance with privacy and security requirements. A key component is an automated contract-generation module based on predefined...
