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BEGIN:VEVENT
UID:601@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20241205T140000
DTEND;TZID=Europe/Paris:20241205T160000
DTSTAMP:20241128T182650Z
URL:https://www.cran.univ-lorraine.fr/events/reunion-sdf-phm2-9/
SUMMARY:Réunion SdF-PHM2
DESCRIPTION:\n 	14:00-14:10 - Introduction\n 	14:10-14:30 - “Contribution
  to the failure prediction of industrial products using a hybrid approach 
 combining artificial intelligence and physical models - Application to Sch
 neider Electric products”\, Mélvin FERNANDES NOVO (PhD student\, Schnei
 der Electric/CRAN)\n 	14:30-15:00 - “Federated Learning for Prognostics 
 and Health Management”\, Ilias ABDOUNI (PhD student\, CRAN)\n 	15:00-15:
 30 - “On the Construction of Energy Efficiency-based Degradation Indicat
 or for Photovoltaic Solar Inverters”\, Jorges RUIZ AMANTEGUI (PhD studen
 t\, Feedgy/CRAN)\n 	15:30-16:00 - "Temporal Convolutional Network for fore
 cating fluctuations differential pressure in Reverse Osmosis systems"\, So
 n PHAN (Master student\, HUS/Vietnam)\n
CATEGORIES:Séminaires projet SDF-PHM2
LOCATION:CRAN - FST -  6ème\, Campus Sciences\, Boulevard des Aiguillettes
 \, Vandœuvre-lès-Nancy\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Campus Sciences\, Boulevard
  des Aiguillettes\, Vandœuvre-lès-Nancy\, France;X-APPLE-RADIUS=100;X-TI
 TLE=CRAN - FST -  6ème:geo:0,0
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TZID:Europe/Paris
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DTSTART:20241027T020000
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