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PRODID:IEEE vTools.Events//EN
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TZID:Mexico/General
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DTSTART:20160403T030000
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DTSTART:20161030T010000
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BEGIN:VEVENT
DTSTAMP:20161003T180119Z
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DTSTART;TZID=Mexico/General:20161020T090000
DTEND;TZID=Mexico/General:20161022T000000
DESCRIPTION:MAIS 2016 strives to bring together people in the area of SMC a
 nd CI to provide an international forum for the reporting of current devel
 opments\, to summarize the state-of-the-art\, and to exchange new ideas an
 d advances on all aspects of systems engineering\, human machine interface
 s\, emerging cybernetics\, mechatronics systems and intelligent systems. I
 n recent years\, a trend has emerged in which bio-inspired intelligence pl
 ays a key role in these aspects to pursue for novel technology. The result
 ing techniques vitalize life science engineering and daily life applicatio
 ns. In light of this trend\,the theme for this conference is Intelligent a
 nd Mechatronics Systems. Papers related to this themeare especially solici
 ted\, including theories\, methodologies\, and applications of intelligent
  systems in science\, technology\, security\, education etc. Topics coveri
 ng industrial issues/applications andacademic research include\, but are n
 ot limited to:\n\nAnalytical Learning\nArtificial Neural Networks\nBayesia
 n Learning\nBrain-Computer Interface\nCombining Inductive and Analytical\n
 Computational Intelligence\nComputational Learning Theory\nEmbedded System
 s\nEvaluating Hypotheses\nGenetic Algorithms\nLearning\nLearning Sets of R
 ules\nMechatronics Systems\nIncremental Learning\nIndustrial Application\n
 Instance-Based Learning\nIntelligent Systems\nIntelligent Systems Fuzzy\nI
 ntelligent Transportation Systems\nImage Processing\nReinforcement Learnin
 g\nSoftware Development\nSupport vector machine\nSystems Modeling & Contro
 l\nRobotic Systems\nRobotics and Manufacturing Automation\n\nCo-sponsored 
 by: Asociación Mexicana de Mecatrónica\n\nSpeaker(s): Dr. Carlos A. Coel
 lo Coello\, Prof. Eduardo José Bayro-Corrochano\, Dr. Carlos A. Coello Co
 ello\, Prof. Eduardo José Bayro-Corrochano\n\nBldg: Centro de las Artes U
 nison\, Av Luis Donaldo Colosio\, Centro\, Hermosillo\, Jalisco\, Mexico\,
  83000
LOCATION:Bldg: Centro de las Artes Unison\, Av Luis Donaldo Colosio\, Centr
 o\, Hermosillo\, Jalisco\, Mexico\, 83000
ORGANIZER:mais@mecamex.net
SEQUENCE:13
SUMMARY:2016 IEEE Conference on Mechatronics\, Adaptive and Intelligent Sys
 tems (MAIS)
URL;VALUE=URI:https://events.vtools.ieee.org/m/41438
X-ALT-DESC:Description: <br /><p>MAIS 2016 strives to bring together people
  in the area of SMC and CI to provide an international forum for the repor
 ting of current developments\, to summarize the state-of-the-art\, and to 
 exchange new ideas and advances on all aspects of systems engineering\, hu
 man machine interfaces\, emerging cybernetics\, mechatronics systems and i
 ntelligent systems. In recent years\, a trend has emerged in which bio-ins
 pired intelligence plays a key role in these aspects to pursue for novel t
 echnology. The resulting techniques vitalize life science engineering and 
 daily life applications. In light of this trend\,the theme for this confer
 ence is Intelligent and Mechatronics Systems. Papers related to this theme
 are especially solicited\, including theories\, methodologies\, and applic
 ations of intelligent systems in science\, technology\, security\, educati
 on etc. Topics covering industrial issues/applications andacademic researc
 h include\, but are not limited to:</p>\n<p><span lang="EN-US">Analytical 
 Learning<br />Artificial Neural Networks<br />Bayesian Learning<br />Brain
 -Computer Interface<br />Combining Inductive and Analytical<br />Computati
 onal Intelligence<br />Computational Learning Theory<br />Embedded Systems
 <br />Evaluating Hypotheses<br />Genetic Algorithms<br />Learning<br />Lea
 rning Sets of Rules<br />Mechatronics Systems<br />Incremental Learning<br
  />Industrial Application<br />Instance-Based Learning<br />Intelligent Sy
 stems<br />Intelligent Systems Fuzzy<br />Intelligent Transportation Syste
 ms<br />Image Processing<br />Reinforcement Learning<br />Software Develop
 ment<br />Support vector machine<br />Systems Modeling &amp\; Control<br /
 >Robotic Systems<br />Robotics and Manufacturing Automation</span></p>
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