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PRODID:IEEE vTools.Events//EN
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TZID:America/Los_Angeles
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DTSTART:20220313T030000
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DTSTART:20221106T010000
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BEGIN:VEVENT
DTSTAMP:20221018T155035Z
UID:55B09F17-1C62-4168-9518-CF5DCB6E37D5
DTSTART;TZID=America/Los_Angeles:20221014T123000
DTEND;TZID=America/Los_Angeles:20221014T133000
DESCRIPTION:Convolutional-Neural-Network-Based Handwritten Character Recogn
 ition: An Approach with Massive Multisource Data\n\nCMU ET112\, Mt Pleasan
 t\, Michigan\, United States\, 48858
LOCATION:CMU ET112\, Mt Pleasant\, Michigan\, United States\, 48858
ORGANIZER:ahmed_nti@yahoo.com
SEQUENCE:2
SUMMARY:Convolutional-Neural-Network-Based Handwritten Character Recognitio
 n: An Approach with Massive Multisource Data
URL;VALUE=URI:https://events.vtools.ieee.org/m/326633
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Convolutional-Neural-Network-Based Handwri
 tten Character Recognition: An Approach with Massive Multisource Data&lt;/p&gt;
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