Artificial Intelligence

Time series analysis in compressor-based machines: a survey featured image

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 …

francesca-forbicini
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A new pulsating neutron star in the Ultraluminous X-ray source NGC 4559 X7? featured image

A new pulsating neutron star in the Ultraluminous X-ray source NGC 4559 X7?

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 …

fabio-pintore
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PRECEPT featured image

PRECEPT

I worked on predictive and proactive building-energy management within PRECEPT, combining time-series modeling, anomaly detection, and AI-assisted decision support to improve …

eDGL: a multimodal neural network for the study of gravitational lenses featured image

eDGL: a multimodal neural network for the study of gravitational lenses

Talk on classification of gravitational lenses and gravitationally-lensed supernovae

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Nicolò Pinciroli
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The restless population of bright X-ray sources of NGC 3621 featured image

The restless population of bright X-ray sources of NGC 3621

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 …

andrea-sacchi
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eDGL: a multimodal neural network for the study of gravitational lenses featured image

eDGL: a multimodal neural network for the study of gravitational lenses

Poster on classification of gravitational lenses and gravitationally-lensed supernovae

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Nicolò Pinciroli
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Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study featured image

Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study

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 …

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Nicolò Pinciroli
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DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data featured image

DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data

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 …

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Nicolò Pinciroli
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ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications featured image

ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications

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 …

niccolo-zangrando
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Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms featured image

Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms

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 …

niccolo-zangrando
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