Short Plenary Presentation: MIR Labs - Indonesia: Challenges and Opportunities by Ford Lumban Gaol

Summary form only given. The increase of ICT and digital data storage, in industrial, financial, healthcare or other application areas with the increasing amounts of collection of images, signals and other types of data certainly provides several research challenges. There is a need to design intell...

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Bibliographic Details
Published in2010 Second International Conference on Computational Intelligence, Modelling and Simulation pp. xxvi - xxviii
Main Author Gaol, Ford Lumban
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2010
Online AccessGet full text
ISBN1424486521
9781424486526
ISSN2166-8523
DOI10.1109/CIMSiM.2010.111

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Summary:Summary form only given. The increase of ICT and digital data storage, in industrial, financial, healthcare or other application areas with the increasing amounts of collection of images, signals and other types of data certainly provides several research challenges. There is a need to design intelligent tools to extract the underlying information, predict, diagnose, estimate or make use of it in some other way, in order to optimize or improve services. Most structure in the data are mostly unstructured, hidden under noise, due to the stochastic nature of the processes and their measurement and because of this robust and adaptive tools are needed that can cope with this nature. Machine Intelligent Research Laboratory (MIR Labs) is a global non-profit academic consortium focused on innovation and research excellence. MIR Labs comprises of a network comprising of several leading academicians and scientists from the academia and industry from different continents, over than 70 countries.
ISBN:1424486521
9781424486526
ISSN:2166-8523
DOI:10.1109/CIMSiM.2010.111