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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20201224T165653Z
UID:FFB6721C-F156-49FC-83DB-353C154AAE79
DTSTART;TZID=Asia/Kolkata:20201102T100000
DTEND;TZID=Asia/Kolkata:20201106T170000
DESCRIPTION:Industry 4.0 demands skill set to device Artificial intelligenc
 e (AI) based solutions. The program is aimed to equip the attendees with b
 asic understanding of AI trends and AI based frameworks which have establi
 shed state-of-the- art performance in various fields of electrical enginee
 ring. The fields for current program are limited to power systems\, signal
  processing and control system. The resource persons of the program are in
 dulged in wide spectrum of research ranging from academia to industry. Thi
 s practice will expose the audience with practices of academia and industr
 y including the enriched insights of the algorithms. This programme endeav
 ours to provide conceptual clarity to popular techniques in optimization\,
  machine learning\, deep learning\, etc.\n\nCOURSE OBJECTIVES\n\n Artif
 icial intelligence foundations\n\n Optimization algorithms\n\n Data-
 driven tools to enable power grid resiliency\n\n Optimal planning of ac
 tive distribution networks using multi-objective optimization algorithms.\
 n\n AI/ML aspects of smart grid from Generation to Utilization\n\n D
 eep learning architectures for image processing\n\n To model nonlinear 
 PID controllers and their tuning using optimization algorithms.\n\n AI 
 techniques in guidance & control for missile system design\n\nCo-sponsored
  by: National Institute of Technology Andhra Pradesh\n\nSpeaker(s): D M Vi
 nod kumar\, Venkateswara Reddy\n\nVirtual: https://events.vtools.ieee.org/
 m/252958
LOCATION:Virtual: https://events.vtools.ieee.org/m/252958
ORGANIZER:sandeepv@ieee.org
SEQUENCE:0
SUMMARY:Five Day Workshop on Emerging Trends in Artificial Intelligence Met
 hods to Power Systems\, Signal Processing and Control
URL;VALUE=URI:https://events.vtools.ieee.org/m/252958
X-ALT-DESC:Description: <br /><p>Industry 4.0 demands skill set to device A
 rtificial intelligence (AI) based solutions. The program is aimed to equip
  the attendees with basic understanding of AI trends and AI based framewor
 ks which have established state-of-the- art performance in various fields 
 of electrical engineering. The fields for current program are limited to p
 ower systems\, signal processing and control system. The resource persons 
 of the program are indulged in wide spectrum of research ranging from acad
 emia to industry. This practice will expose the audience with practices of
  academia and industry including the enriched insights of the algorithms. 
 This programme endeavours to provide conceptual clarity to popular techniq
 ues in optimization\, machine learning\, deep learning\, etc.</p>\n<p>COUR
 SE OBJECTIVES</p>\n<p> Artificial intelligence foundations</p>\n<p> 
 Optimization algorithms</p>\n<p> Data-driven tools to enable power grid
  resiliency</p>\n<p> Optimal planning of active distribution networks u
 sing multi-objective optimization algorithms.</p>\n<p> AI/ML aspects of
  smart grid from Generation to Utilization</p>\n<p> Deep learning archi
 tectures for image processing</p>\n<p> To model nonlinear PID controlle
 rs and their tuning using optimization algorithms.</p>\n<p> AI techniqu
 es in guidance &amp\; control for missile system design</p>
END:VEVENT
END:VCALENDAR