Smart Entity – How to build DEVS models from large amount of data and small amount of knowledge
| Autor: | Marielle Delhom, Ho Van Hieux, Evelyne Vittori, Antoine Aiello, Bastien Poggi, Thierry Antoine-Santoni |
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| Přispěvatelé: | Sciences pour l'environnement (SPE), Centre National de la Recherche Scientifique (CNRS)-Université Pascal Paoli (UPP), Stella Mare, Université Pascal Paoli (UPP)-Centre National de la Recherche Scientifique (CNRS), Antoine-Santoni, Thierry |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Sustainable development
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI] DEVS Event (computing) Computer science business.industry 020209 energy Corporate governance Big data 02 engineering and technology Data science [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Information and Communications Technology Smart city 11. Sustainability Scalability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation business ComputingMilieux_MISCELLANEOUS |
| Zdroj: | 11th EAI International Conference on Simulation Tools and Techniques (SimuTools) 11th EAI International Conference on Simulation Tools and Techniques (SimuTools), Jul 2019, Chengdu, China. pp.615-626 Simulation Tools and Techniques ISBN: 9783030322151 SimuTools |
| Popis: | University of Corsica and CNRS are working on a scientific program called “Smart Paesi”. This project focus on a sustainable rural territories development using advanced artificial intelligence concepts in order to adapt smart city concept (including sustainable development, ICT with by example wireless sensors network, education, e-citizenship, governance) to rural territories and their specificities. In this paper, we introduce a new approach combining discrete event modelling concepts and machine learning methods. This work is a first step towards the conception of a generic and scalable framework allowing model generation from large amount of data. |
| Databáze: | OpenAIRE |
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