# data[].attributes.body
Classification optimisée de signaux EEG

https://eds.b.ebscohost.com/eds/detail/detail?vid=0&sid=bf2265b2-c7a2-482c-bb0a-dda5b038a63a%40pdc-v-sessmgr05&bdata=Jmxhbmc9ZnImc2l0ZT1lZHMtbGl2ZQ%3d%3d#AN=126786664&db=edb

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# data[].attributes.body
Neural network for image generation

http://www.cs.cmu.edu/~bhiksha/courses/deeplearning/Fall.2016/pdfs/Simard.pdf
good practices for convolution neural networks

https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=72
Newpapper dedicated to neural network within IEEE

https://ieeexplore-ieee-org.passerelle.univ-rennes1.fr/document/4436721
Refinement of pet scan

https://ieeexplore-ieee-org.passerelle.univ-rennes1.fr/document/8363549
segmentation mri
"sagittal and coronal MRI scans "?

https://ieeexplore-ieee-org.passerelle.univ-rennes1.fr/document/7453863
GA's neural networks to reconstruct MRI IMAGE

# data[].attributes.body
Denoising EEG  by CCA
https://www.hal.inserm.fr/inserm-00186093
https://www.sciencedirect.com/science/article/pii/S1350453315000156

http://theses.fr/2014NICE4075
http://theses.fr/2014REN1S185
http://theses.fr/2012REN1S173

https://www.techniques-ingenieur.fr/base-documentaire/technologies-de-l-information-th9/traitement-du-signal-bases-theoriques-42295210/series-temporelles-te5220/

CCA method analysis
https://hal-univ-rennes1.archives-ouvertes.fr/hal-00908179
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01260596

# data[].attributes.body
Méthodes de séparation des composantes
https://www.aanda.org/articles/aa/abs/2014/11/aa21580-13/aa21580-13.html

Commander-ruler
NILC
SEVEM
SMICA
https://www.aanda.org/articles/aa/ps/2008/44/aa10116-08.ps.gz

CMB
http://culturesciencesphysique.ens-lyon.fr/video-html5/depphysique/2013/cardoso/la-plus-vieille-image-du-monde-comment-la-saisir-et-la-faire-parler#diapo26

Mission Planck
https://pla.esac.esa.int/#home

# data[].attributes.body
Online characterization of a supercapacitor state of aging using Kalman filtering method

https://doi.org/10.1016/j.engappai.2012.09.013
comparaison entre réseaux de neurones et filtrage Kalman pour la détermination de l'état de santé de batteries Li-Ion

https://www-techniques-ingenieur-fr.passerelle.univ-rennes1.fr/base-documentaire/automatique-robotique-th16/automatique-avancee-42393210/filtrage-optimal-r7228/
filtrage optimal

https://ieeexplore.ieee.org/document/7260887
state of charge estimation using first order Markov process

https://ieeexplore.ieee.org/document/6743170
SoC estimation with Kalman filtering method

http://www.aece.ro/abstractplus.php?year=2018&number=3&article=5
SoC estimation with Kalman filtering method : graphical interpretation

# data[].attributes.body
Classification optimisée de signaux EEG

# data[].attributes.body
cell tracking

https://ieeexplore.ieee.org/abstract/document/1608529

segmentation

https://ieeexplore.ieee.org/abstract/document/1434171