BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Machine Learning and Geographic Information Systems for large-scal
 e mapping of renewable energy potential
DTSTART:20190404T120000
DTSTAMP:20260407T043907Z
UID:3247584a893a6f80fe506afb79757143b3ed448bec432aec682e7ff3
CATEGORIES:Thesis defenses
DESCRIPTION:Dan ASSOULINE\nThesis directors : Prof. J.-L. Scartezzini \, D
 r N. Mohajeri Pour Rayeni\nEnergy doctoral program.\nThesis 9376\n 
LOCATION:MXF 1 https://plan.epfl.ch/?room==MXF%201
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR