BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20211230T172200Z
UID:2F55F9E1-B0F1-47D1-AEF8-66B3ADD9FF47
DTSTART;TZID=Asia/Kolkata:20211218T180000
DTEND;TZID=Asia/Kolkata:20211218T190000
DESCRIPTION:CIS Chapter\, IEEE UP Section (CIS11) organized a Lecture Serie
 s on "Computational Intelligence". The speaker of the lecture was Prof. Vr
 ijendra Singh\, Dept. of Information Technology\, Indian Institute of Info
 rmation Technology Allahabad\, Prayagraj\, India.\n\nSpeaker(s): Vrijendra
  Singh\, \n\nAgenda: \nAbstract of the talk:\n\nFrom the recent years the 
 Internet of Things is an increasingly becoming integral part of our daily 
 lives. Most of the time\, the time series data/signals are generated from 
 these IoT devices. The real time analysis of these signals are very import
 ant for ease of doing things and making our lives easier. In this talk\, w
 e will first understand what a time series signal is? What are the main so
 urces in the world from which the time series signals are generated? A lot
  of motivational real examples and AI products and solutions will be expla
 ined in order to understand the importance and real use of the time series
  data analysis. Machine Learning concepts from very basic building blocks 
 to advanced architectures including the Deep Neural Networks will be expla
 ined. The classical signal processing methods to analyze the time series d
 ata analysis along with its machine learning/deep learning counterpart alg
 orithms will be explained along with the comparison of different state of 
 the art approaches. The research problems of the domain along with the cha
 llenges shall also be addressed during the session.\n\nKanpur\, Uttar Prad
 esh\, India\, 208016\, Virtual: https://events.vtools.ieee.org/m/297902
LOCATION:Kanpur\, Uttar Pradesh\, India\, 208016\, Virtual: https://events.
 vtools.ieee.org/m/297902
ORGANIZER:vrij@iiita.ac.in
SEQUENCE:0
SUMMARY:Expert Lecture on "Why Deep Learning for Time Series Signal Process
 ing?"
URL;VALUE=URI:https://events.vtools.ieee.org/m/297902
X-ALT-DESC:Description: <br /><p>CIS Chapter\, IEEE UP Section (CIS11) orga
 nized a Lecture Series on "Computational Intelligence". The speaker of the
  lecture was Prof. Vrijendra Singh\, Dept. of Information&nbsp\; Technolog
 y\, Indian Institute of Information Technology Allahabad\, Prayagraj\, Ind
 ia.</p><br /><br />Agenda: <br /><h4><strong>Abstract of the talk:</strong
 ></h4>\n<p align="justify">From the recent years the Internet of Things is
  an increasingly becoming integral part of our daily lives. Most of the ti
 me\, the time series data/signals are generated from these IoT devices. Th
 e real time analysis of these signals are very important for ease of doing
  things and making our lives easier. In this talk\, we will first understa
 nd what a time series signal is? What are the main sources in the world fr
 om which the time series signals are generated? A lot of motivational real
  examples and AI products and solutions will be explained in order to unde
 rstand the importance and real use of the time series data analysis. Machi
 ne Learning concepts from very basic building blocks to advanced architect
 ures including the Deep Neural Networks will be explained. The classical s
 ignal processing methods to analyze the time series data analysis along wi
 th its machine learning/deep learning counterpart algorithms will be expla
 ined along with the comparison of different state of the art approaches. T
 he research problems of the domain along with the challenges shall also be
  addressed during the session.</p>
END:VEVENT
END:VCALENDAR