BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20220327T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20211031T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20220323T082615Z
UID:A6E0879F-7D9C-41CA-ACD5-CFE6DF513245
DTSTART;TZID=Europe/Berlin:20220322T170000
DTEND;TZID=Europe/Berlin:20220322T180000
DESCRIPTION:Over the past few years various methods of machine learning (ML
 ) have attracted attention in engineering disciplines. EMC engineering is 
 one of them and in this presentation we try to understand why and how they
  help with tasks that are essential to EMC. After a short\nintroduction in
 to ML representative EMC related publications are reviewed and results fro
 m our own research in the area of power integrity are presented.\n\nVirtua
 l: https://events.vtools.ieee.org/m/304677
LOCATION:Virtual: https://events.vtools.ieee.org/m/304677
ORGANIZER:miroslav.kotzev@ericsson.com
SEQUENCE:2
SUMMARY:IEEE German EMC Chapter - Professional Talk: Methods of Machine Lea
 rning: Tools or Toys for EMC Engineering?
URL;VALUE=URI:https://events.vtools.ieee.org/m/304677
X-ALT-DESC:Description: <br /><p>Over the past few years various methods of
  machine learning (ML) have attracted attention in engineering disciplines
 . EMC engineering is one of them and in this presentation we try to unders
 tand why and how they help with tasks that are essential to EMC. After a s
 hort&nbsp\;<br />introduction into ML representative EMC related publicati
 ons are reviewed and results from our own research in the area of power in
 tegrity are presented.</p>
END:VEVENT
END:VCALENDAR