BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20230603T180506Z
UID:C93FA0DA-0C4F-4945-A5A0-5BB484723449
DTSTART;TZID=Etc/UTC:20230603T170000
DTEND;TZID=Etc/UTC:20230603T180000
DESCRIPTION:IEEE CS DVP EXA Event\, the first 24+hour ONLINE event\, which 
 will bring together leading researchers\, scientists\, engineers\, and ind
 ustry experts from the IEEE Computer Society Distinguished Visitor Program
  (DVP) to share their expertise and insights on the latest developments an
 d trends on Smart Computing. This event is designed for researchers\, scie
 ntists\, engineers\, industry professionals\, and students who are interes
 ted in learning more about the potential of smart computing to advance var
 ious fields of research and applications.\n\nCo-sponsored by: IEEE Compute
 r Society Distinguished Visitor Program (DVP) \n\nVirtual: https://events.
 vtools.ieee.org/m/363146
LOCATION:Virtual: https://events.vtools.ieee.org/m/363146
ORGANIZER:
SEQUENCE:7
SUMMARY:IEEE CS DVP EXA Event: Machine Learning Techniques for Radar Target
  Detection
URL;VALUE=URI:https://events.vtools.ieee.org/m/363146
X-ALT-DESC:Description: <br /><p><span class="WdYUQQ">IEEE CS DVP EXA Event
 \, the first 24+hour ONLINE event\, which will bring together leading rese
 archers\, scientists\, engineers\, and industry experts from the IEEE Comp
 uter Society Distinguished Visitor Program (DVP) to share their expertise 
 and insights on the latest developments and trends on Smart Computing. Thi
 s event is designed for researchers\, scientists\, engineers\, industry pr
 ofessionals\, and students who are interested in learning more about the p
 otential of smart computing to advance various fields of research and appl
 ications.</span></p>
END:VEVENT
END:VCALENDAR