
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 European Union FEDER through the RIS3CAT programme, under the project of FEM-IOT. 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
Based on Cloud, Machine Learning (Stream and Deep Learning), and IoT Technologies for Smart Cities
R-Project and the Comprehensive R Archive Network.
Fast and general engine for large-scale data processing.
The Hadoop database, a distributed, scalable, big data store.
Automatic Identification System for Maritime Vessels.
PATRONS @ BSC is composed by BSC researchers from the Earth Sciences department and Computer Sciences department
Data-Centric Computing Group Manager. Personal Page
Applied Machine Learning Methods. Personal Page
PhD candidate SEV-2015-0493-16-5. Personal Page
Earth System Services Group Coordinator. Personal Page
Emission Modeling research lines. Personal Page
Also, the BSC staff working in PATRONS at the Data-Centric Computing group:
And former or visiting researchers that contributed to the project:
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