3 papers
cs.CL2025
A Graph-based RAG for Energy Efficiency Question Answering
Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici +3
In this work, we investigate the use of Large Language Models (LLMs) within a graph-based Retrieval Augmented Generation (RAG) architecture for Energy Efficiency (EE) Question Answ…
astro-ph.HE2025
The hunt for new pulsating ultraluminous X-ray sources: a clustering approach
Nicolò Oreste Pinciroli Vago, Roberta Amato, Matteo Imbrogno +5
The discovery of fast and variable coherent signals in a handful of ultraluminous X-ray sources (ULXs) testifies to the presence of super-Eddington accreting neutron stars, and dra…
cs.CV2025
A Deep Learning Pipeline for Solid Waste Detection in Remote Sensing Images
Federico Gibellini, Piero Fraternali, Giacomo Boracchi +4
Improper solid waste management represents both a serious threat to ecosystem health and a significant source of revenues for criminal organizations perpetrating environmental crim…