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 …
Among the many scenarios where humans and AI agents can collaborate, Energy Efficiency (EE) is one where such collaboration could most effectively contribute to the goal of net …
Astronomers have produced large multimodal datasets that include images, spectra, and time series, and that encode physical information about the observed objects. In addition, a …
Anomaly detection (AD) in numerical temporal data series is a prominent task in many domains, including the analysis of industrial equipment operation, the processing of IoT data …
The popularity of the semantic web in many domains, such as transportation, has led to an ever-increasing development of standards, vocabularies, and ontologies, which generates …
The presence of non-zero helicity in intergalactic magnetic fields is a smoking gun for their primordial origin since they have to be generated by processes that break CP …
This paper introduces Interactive Graph Analyzer (INTEGRA), a tool to support the comparison of simulated football matches with real ones, through the analysis of dynamic graphs. …