Event | When | Where | Deadline |
ICNSC 2016 |
13th IEEE International Conference on Networking, Sensing and Control |
Apr 28, 2016 - Apr 30, 2016 |
Mexico City |
Dec 15, 2015 |
ICNSC 2015 |
12th IEEE International Conference on Networking, Sensing and Control |
Apr 9, 2015 - Apr 11, 2015 |
Taipei, Taiwan |
Nov 20, 2014 |
ICNSC 2013 |
IEEE 10th International Conference on Networking, Sensing and Control |
Apr 10, 2013 - Apr 12, 2013 |
Evry, France |
Sep 30, 2012 |
ICNSC 2012 |
9th IEEE International Conference on Networking, Sensing and Control |
Apr 11, 2012 - Apr 14, 2012 |
Beijing, China |
Nov 15, 2011 |
ICNSC 2011 |
8th IEEE International Conference on Networking, Sensing and Control |
Apr 11, 2011 - Apr 13, 2011 |
Delft, Netherlands |
Oct 1, 2010 |
ICNSC 2009 |
International Conference on Networking, Sensing and Control |
Mar 26, 2009 - Mar 29, 2009 |
Okayama, Japan |
Oct 1, 2008 |
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The 13th IEEE International Conference on Networking, Sensing and Control (ICNSC ́2016) will be held in Mexico City, Mexico. This conference will provide a remarkable opportunity for the academic and industrial communities to address new challenges and share solutions, and discuss future research directions. It will feature plenary speeches, industrial panel sessions, and funding agency panel sessions, interactive sessions, and invited/special sessions, tutorials. Contributions are expected from academia, industry, and management agencies. The conference theme is:
Big Data Analytics
Big data analytics is a hot research and application subject for academic researchers, industries, and government managers. Big data applications have been developed in many fields such as medical and healthcare, business and financing, education and learning, social networks and networking, telecommunication, energy and environment, sensors and Internet of things, etc. Big data technologies such as computing techniques and architecture, modeling, data/text mining and analytics, and databases are advancing impressively. This conference seeks to engross the community address these issues and to craft new discoveries and applications on big data.
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