Time series analysis in compressor-based machines: a survey
In both industrial and residential contexts, compressor-based machines, such as refrigerators, heat, ventilation, and air conditioning systems, heat pumps, and chillers, are …
In both industrial and residential contexts, compressor-based machines, such as refrigerators, heat, ventilation, and air conditioning systems, heat pumps, and chillers, are …
Ultraluminous X-ray sources (ULX) are extragalactic objects with observed X-ray luminosities largely above the Eddington limit for a 10 M⊙ black hole. Currently, it is believed …
I worked on predictive and proactive building-energy management within PRECEPT, combining time-series modeling, anomaly detection, and AI-assisted decision support to improve …
Talk on classification of gravitational lenses and gravitationally-lensed supernovae
We report on the multi-year evolution of the population of X-ray sources in the nuclear region of NGC 3621 based on Chandra, XMM-Newton, and Swift observations. Among these, two …
Poster on classification of gravitational lenses and gravitationally-lensed supernovae
Non-neural machine learning (ML) and deep learning (DL) are used to predict system failures in industrial maintenance. However, only a few studies have assessed the effect of …
Gravitational lensing is the relativistic effect generated by massive bodies, which bend the space-time surrounding them. It is a deeply investigated topic in astrophysics and …
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 diffusion of domotics solutions and of smart appliances and meters enables the monitoring of energy consumption at a very fine level and the development of forecasting and …