ISSN Print: 2150-8402
ISSN Online: 2150-8410
This special journal issue aims to provide an opportunity for international researchers to present and discuss recent advances in the foundations, integration architectures and applications of hybrid and adaptive systems for computer vision and robot control. It is intended as a follow-up on the special session at ICONIP 2010 , held in Sydney, Australia. Nevertheless, we are also welcoming papers from other authors with relevant research that aligns with this theme.
Hybrid Intelligent Vision Systems |
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Real-time Object Recognition; Feature Extraction; Pattern Recognition; Tracking and Surveillance; Biometrics; Behaviour Recognition; Gesture Recognition. |
Hybrid Intelligent Control and Automation |
Cooperative Control; Adaptive Control; Robust Control; Biomedical Instrumentation; Modelling and Simulation. |
Adaptive Learning Systems for Robotics |
Humanoid and Mobile Robotics; Search and Rescue; Bio-robotics; Tele-robotics; Swarm robotics. |
All submissions must be original and must conform to the standards set by the Journal of Intelligent Learning Systems and Applications (www.jilsa.net) .
A template for writing a manuscript could be downloaded here:
Manuscript template
Papers should be submitted to the guest editors by email and also to the following web site: www.scirp.org/journal/jilsa .
Place a note or tag designating that the submission is for the special issue entitled "Hybrid and Adaptive Systems for Computer Vision and Robot Control".
Manuscript submission: | February 14, 2011 |
First-round of review notification: | April/May 2011 |
Revised version submission: | June 2011 |
Publication date: | 2011 |
Dr. Napoleon H. Reyes Institute of Information and Mathematical Sciences Massey University, Auckland, New Zealand. Email: n.h.reyes@massey.ac.nz |
Dr. Andre L. C. Barczak Institute of Information and Mathematical Sciences Massey University, Auckland, New Zealand. Email: a.l.barczak@massey.ac.nz |
Dr. Pitoyo P. Hartono Department of Media Architecture Future University-Hakodate, Japan Email: hartono@fun.ac.jp |
Dr. Jonathan H. Chan School of Information Technology King Mongkut's University of Technology Thonburi. Email : jonathan@sit.kmutt.ac.th |