4 - Contributo in Atti di convegno

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4.01 Contributo in Atti di convegno 37804
4.02 Riassunto (Abstract) 18940
4.03 Poster 2476

Prodotti recenti

Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients

Disease management, especially for chronic conditions or the elderly, involves continuous monitoring, lifestyle adjustments, and frequent healthcare interactions, necessitating effective home-care ICT solutions. To address these needs, chatbot technology has emerged as a promising tool for supporting patients in managing their health autonomously. In this context, chatbots must provide timely and accurate information and continuous empathetic support to maintain patient engagement. Additional...

Supporting Human Examiners in Facial Image Manipulation Detection

Many countries lack live enrollment procedures for facial images in identity documents, allowing citizens to provide their own photos. This operational procedure opens avenues for fraudulent attacks, primarily through digital manipulations of facial images, which have an impact on automated identity verification performance. Detecting such manipulations before image inclusion into documents is critical, especially given the difficulty in identifying them visually. To address this, a software ...

Towards Federated Learning for Morphing Attack Detection

Through the Face Morphing attack is possible to use the same legal document by two different people, destroying the unique biometric link between the document and its owner. In other words, a morphed face image has the potential to bypass face verification-based security controls, then representing a severe security threat. Unfortunately, the lack of public, extensive and varied training datasets severely hampers the development of effective and robust Morphing Attack Detection (MAD) models, ...

LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach

High-Performance Computing (HPC) systems are intricate machines that must be run at maximum efficiency to justify their high cost and to minimize environmental impact. Any anomalies that hinder the smooth operation of supercomputing nodes are a significant issue in modern HPC systems. Therefore, the development of automated anomaly detection methods is a crucial area of research within the HPC domain. Machine Learning (ML) models have shown great success in identifying anomalies on individual...

xDevSM: Streamlining xApp Development With a Flexible Framework for O-RAN E2 Service Models

RAN Intelligent Controllers (RICs) are programmable platforms that enable data-driven closed-loop control in the O-RAN architecture. They collect telemetry and data from the RAN, process it in custom applications, and enforce control or new configurations on the RAN. Such custom applications in the Near-Real-Time (RT) RIC are called xApps, and enable a variety of use cases related to radio resource management. Despite numerous open-source and commercial projects focused on the Near-RT RIC, de...

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