R-cran
R-Project and the Comprehensive R Archive Network.
Introduction of the project and main goals
Emission Models and Patterns through Machine Learning Analytics at Barcelona (PATRONS @ BSC) is a project funded by the Severo Ochoa Programme (GA SEV-2015-0493) awarded to the Barcelona Supercomputing Center, and the European Union ERDF/FEDER through the project FEM-IOT (RIS3CAT GA.001-P-001662). PATRONS @ BSC involves research on Time Series Modeling, Data Processing from Sensor Networks, Distributed and Edge Computing, targeting Environmental Models and Pollution Pattern Mining on cities. Also has the objective to maximize the collaboration between current research activities between the Earth Sciences and Computer Sciences Departments at BSC.
PATRONS @ BSC aims to discover the precise relations between different types of emissions, from road traffic to maritime traffic in coastal cities, environmental and weather factors, and the resulting pollution and air quality. The methods and tools used for such purpose correspond to data mining and machine learning, from Stream Mining to Deep Learning techniques, oriented towards distributed computing using frameworks like Apache Spark and distributed DataBases like HBase and HIVE.
Visualization of Maritime Data and Patterns
Capturing Maritime Traffic through AIS Signals
PATRONS @ BSC is composed by BSC researchers from the Earth Sciences department and Computer Sciences department
Data-Centric Computing Group Manager
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Applied Machine Learning Methods
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PhD candidate SEV-2015-0493-16-5
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Earth System Services Group Coordinator
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Emission Modeling research lines
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Also, the BSC staff that has contributed to PATRONS, at the Data-Centric Computing group:
And former or visiting researchers that contributed to the project:
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