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Type III solar radio burst detection and classification: a deep learning approach
(IEEE, 2021-06-10)
Solar Radio Bursts (SRBs) are generally observed in dynamic spectra and have five major spectral classes, labelled Type I to Type V depending on their shape and extent in frequency and time. Due to their complex characterization, ...
A comparative analysis of sentiment analysis tools for data mining systems
(Athlone Institute of Technology, 2020-06)
Over
the past few years the rise in big
data is something that has gained a lot of
traction and attention, the sheer volume
of data produced by humans is increasing
rapidly each year
The
growth in social media over ...
First results from the REAL-time transient acquisition backend (REALTA) at the Irish LOFAR station
(ESO/EDP Sciences, 2021-10-28)
Modern radio interferometers such as the LOw Frequency ARray (LOFAR) are capable of producing data at hundreds of gigabits to terabits per second. This high data rate makes the analysis of radio data cumbersome and ...
The self-generating model: an adaptation of the self-organizing map for intellgent agents and data mining.
(Springer International, 2018-04-19)
We present the Self-Generating Model (SGM), a new version of the Self-organizing Map (SOM) that has been adapted for use in intelligent data mining ALife agents. The SGM sacrifices the topology-preserving ability of the ...