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Annonce

30 janvier 2018

PhD Thesis in Statistics/ Signal Processing/Temporal Series applied in the field of Indoor Air Quality


Catégorie : Doctorant


PhD Thesis in Statistics/ Signal Processing/Temporal Series applied in the field of Indoor Air Quality at the University Paris Est.

 

PhD Thesis in Statistics/ Signal Processing/Temporal Series applied in the field of Indoor Air Quality at the University Paris Est, entitled "Development of information and optimisation solutions for real-time monitoring of indoor air quality”.
(In French: “Développement de solutions d’information et d’optimisation de la qualité de l’air intérieur renseignée en temps réel”)

Keywords:

Indoor Air, Inverse Modelling, Time Series, Data Mining, Blind Source Separation, Multivariate Analysis, Latent Factors Decomposition, Classification, Deep Learning, Optimisation, Programming, Statistics, Signal Processing.

The originality of this thesis consists in a novel application of the previously cited methods in the field of Indoor Air Quality, very few explored up to present.

For more details (in English and in French) please see https://faust.u-pec.fr/get?k=3dZRQVbjEfkE70jP0yg.

 

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