Conference Information

ICCAIS 2014: International Conference on Control, Automation and Information Sciences

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Submission Date:
2014-10-19 Extended
Notification Date:
2014-11-02
Conference Date:
2014-11-05
Location:
Seoul, Korea
Years:
3
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Call For Papers

ICCAIS 2014 (International Conference on Control, Automation and Information Sciences) is an academic conference held in Seoul, Korea on 2014-11-05. The paper submission deadline is 2014-10-19 (extended). Acceptance notifications are sent on 2014-11-02.

The Applied Computing Lab comprises both a degree-granting academic program and a research program. Following the success of ICCAIS 2012, the Institute of Applied Mechanics and Informatics, Vietnam Academy of Science and Technology is proud to host the Second International Conference on Control, Automation and Information Sciences (ICCAIS 2013) from November 25-28, 2013, co-organized by University of Information Technology, Vietnam National University at Ho Chi Minh City. ICCAIS 2013 (IEEE Conf. No. 31270), technically co-sponsored by the IEEE Vietnam Section, will be held at the beautiful beach front city of Nha Trang ( the most popular tourist destination in Vietnam), Vietnam. This conference provides a forum for regional and international researchers, engineers and practitioners to get together, discuss and present relevant achievements, challenges, innovation as well as future direction in control, automation and information sciences research and practice. Topics of the conference include but are not limited to: Linear / Nonlinear Control Nonlinear Systems Process Control and Monitoring Adaptive / Robust Control Model Predictive Control Intelligent Control Precision Motion Control Networked Control Systems System Identification and Parameter Estimation Modeling and Simulation Nonlinear filtering and smoothing Mobile Robot Navigation, Guidance and Control Field Robotics Unmanned Vehicle Systems Bio-robotics and Medical Robotics Humanoid Robotics Man-Machine Interaction Intelligent Building Finite Set Statistics Probability Hypothesis Density Filtering Target Tracking Multi-Sensor Multi-Target Tracking Data Fusion Sensor/Resource Management Bio-medical Signal Processing Image processing Machine learning Data Mining Natural Language Processing
Last updated by Dou Sun in

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