PAPUD
Profiling and Analysis Platform Using Deep Learning
Project description
Businesses are currently having to deal with a data set that is more than they can handle. Today’s necessity is not the usage of data analytics, it is the utilisation of combined technologies in which data analytics are executed to make sense out of the data. The scope of the project is to build a universal model for data analytics using Deep Learning on a proposed set of technologies including HPDA environment that fit best to the data provided.
Belgium
4C CONSULTING
Belgium
Katholieke Universiteit Leuven
Belgium
France
Bull S.A.S.
France
ContentSide
France
Institut Mines-Télécom
France
Lille 1 University
France
PERTIMM
France
Softeam
France
Romania
BEIA Consult International
Romania
Spain
Türkiye
Project publications
- PAPUD Project results leaflet Project Leaflet 18 January 2021 Download
- PAPUD Success story Success story 01 July 2024 Download
- ITEA Success story: PAPUD Magazine article Issue 48 (July 2024) Download
- ITEA PAPUD Exploitable Results by Third Parties Exploitable Results 18 November 2020
- A Deep Learning project – PAPUD’s lessons learned News item 11 March 2021
Work package documents
- D1.1. PAPUD - Market Analysis Work package document 03 July 2018
- D1.3._Papud_SoTA_V1.1.pdf Work package document 06 May 2019
- D1.3._Papud_SoTA_V1.2.pdf Work package document 23 June 2020
- D4.1.2 Use Case Demonstrators Report Work package document 05 November 2020
- D5.1.1-e-Citiz_PAPUD-2020-product_sheet Work package document 05 November 2020
- D5.2.1-CoterClub_PAPUD Work package document 28 October 2020
- D5.2.2 Dissemination Report Updated Work package document 15 November 2020
- D6.1.6 Final Report Work package document 13 November 2020
- Dissemination Report Work package document 13 November 2020