Flow data validation tool

Within the scope of the WISDom R&D project, coordinated by one of the members of INCITE, a computational application was developed for the treatment of anomalous data in flow series, associated with errors related to the collection, transmission and storage process, and with a view to the subsequent use for the detection of anomalous events using automatic learning techniques.

Watch the presentation video on Youtube.


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