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Found 4 papers, 1 papers with code
Time Series Analysis in Compressor-Based Machines: A Survey
In both industrial and residential contexts, compressor-based machines, such as refrigerators, HVAC systems, heat pumps and chillers, are essential to fulfil production and consumers' needs.
Predicting machine failures from multivariate time series: an industrial case study
Non-neural Machine Learning (ML) and Deep Learning (DL) models are often used to predict system failures in the context of industrial maintenance.
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.
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields
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 invariance.
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