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Found 8 papers, 2 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.
Solid Waste Detection in Remote Sensing Images: A Survey
This review aims to provide a detailed illustration of the most relevant proposals for the detection and monitoring of solid waste sites by describing and comparing the approaches, the implemented techniques, and the employed data.
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.
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools
This paper focuses on the application of DNNs to Computer Vision (CV) tasks and presents a survey of the tools that support the black-box performance diagnosis paradigm.
A Data Set and a Convolutional Model for Iconography Classification in Paintings
Iconography in art is the discipline that studies the visual content of artworks to determine their motifs and themes andto characterize the way these are represented.
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Estimating snow cover from publicly available images
In this paper we study the problem of estimating snow cover in mountainous regions, that is, the spatial extent of the earth surface covered by snow.
SnowWatch: Snow Monitoring through Acquisition and Analysis of User-Generated Content
We present a system for complementing snow phenomena monitoring with virtual measurements extracted from public visual content.
