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
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
PRECEPT featured image

PRECEPT

Energy consumption in buildings has been decreasing since 2008, mainly due to efforts observed in the residential sector and policy measures, as well as higher energy prices and …

AstroAI featured image

AstroAI

A center dedicated to the development of artificial intelligence to enable next generation astrophysics at the Center for Astrophysics | Harvard & Smithsonian. AstroAI strives to …

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
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
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
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
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
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