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DTSTART:20250309T030000
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DTSTART:20241103T010000
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DTSTAMP:20250213T152745Z
UID:CF7C4BBD-73F2-408F-9FDE-F2A58A26830F
DTSTART;TZID=America/Chicago:20250211T140000
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DESCRIPTION:This talk presents a comprehensive exploration of advancements 
 in industrial large models and digital twin technologies led by the CogTwi
 ns Lab at Shandong University of Science and Technology (SDUST). The resea
 rch addresses critical areas in intelligent manufacturing\, emphasizing eq
 uipment fault prediction\, prognostics health monitoring\, and process opt
 imization through multimodal data integration.\n\nRoom: 335\, Bldg: KHS\, 
 Toronto Metropolitan University\, Toronto\, Ontario\, Canada\, M5B 2K3
LOCATION:Room: 335\, Bldg: KHS\, Toronto Metropolitan University\, Toronto\
 , Ontario\, Canada\, M5B 2K3
ORGANIZER:l5zhao@torontomu.ca
SEQUENCE:20
SUMMARY:Towards Industrial Large Models and Digital Twins
URL;VALUE=URI:https://events.vtools.ieee.org/m/463709
X-ALT-DESC:Description: &lt;br /&gt;&lt;p style=&quot;text-align: justify\; text-justify:
  inter-ideograph\;&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;This talk presents a comprehensive 
 exploration of advancements in industrial large models and digital twin te
 chnologies led by the CogTwins Lab at Shandong University of Science and T
 echnology (SDUST). The research addresses critical areas in intelligent ma
 nufacturing\, emphasizing &lt;/span&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;mso-fareast-fon
 t-family: SimSun\; mso-fareast-theme-font: minor-fareast\;&quot;&gt;equipment &lt;/sp
 an&gt;&lt;span lang=&quot;EN-US&quot;&gt;fault prediction\, prognostic&lt;/span&gt;&lt;span lang=&quot;EN-U
 S&quot; style=&quot;mso-fareast-font-family: SimSun\; mso-fareast-theme-font: minor-
 fareast\;&quot;&gt;s &lt;/span&gt;&lt;span lang=&quot;EN-US&quot;&gt;health monitoring\, and process opt
 imization through multimodal data integration.&lt;/span&gt;&lt;/p&gt;
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