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ISSP 2013 : International Conference on Intelligent Systems and Signal Processing

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Link: http://www.gcet.ac.in/issp/
 
When Mar 1, 2013 - Mar 2, 2013
Where Vallabh Vidyanagar, Anand, Gujarat INDIA
Submission Deadline Sep 22, 2012
Notification Due Dec 22, 2012
Final Version Due Jan 15, 2013
Categories    artificial intelligence   signal and image processing   communication   data mining and soft computing
 

Call For Papers

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CALL FOR PAPERS
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International Conference on Intelligent Systems and Signal Processing
ISSP-2013 on March 1-2, 2013

At G H Patel College of Engineering and Technology
Vallabh Vidyanagar, Gujarat, INDIA.

ISSP 2013 has Technical Co-Sponsorship from IEEE.
The accepted papers will be available online on IEEEXplore.

Conference Website:
http://www.gcet.ac.in/issp/

Important Dates:
submission of full length paper : 22nd September, 2012
Notification of acceptance : 22nd December, 2012
camera ready paper and Registration : 15th January, 2013

You are invited to submit your original, unpublished research articles through EasyChair login at: http://www.easychair.org/conferences/?conf=issp2013

For further query contact: issp2013@gcet.ac.in
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The International Conference on Intelligent System and Signal Processing (ISSP) is organized to address various issues to prosper the creation of intelligent solutions in future. The primary goal of the conference is to bring together worldwide leading researchers, developers, practitioners and academicians interested in advancing the state of the art in the domains of Signal Processing, Communication Engineering, Computational Intelligence and Data Processing for exchanging knowledge that encompasses a broad range of disciplines among various distinct communities.


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Conference Themes
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Only original papers that have not been published or submitted for publication elsewhere can be submitted. Full papers are required for review. Original and unpublished papers are invited for presentation in the following area.

Track 1. Intelligent Systems and Applications

• Intelligent optimization techniques
• Evolutionary algorithms and applications
• Embedded Systems
• Adaptive control systems
• Embedded and real-time operating systems
• Parallel and distributed algorithms and architectures
• Language Processors
• Web Intelligence techniques

Track 2. Signal and Image Processing: Applications

• Analog and Digital Signal Processing
• Statistical Signal Processing
• Filter Design
• Multi-rate and Wavelet Signal Processing
• Adaptive Signal Processing
• Acoustic Speech and Lang. Processing
• Signal Modeling
• Biomedical Signal Processing & Applications
• Image Enhancement & Noise Filtering
• Image Restoration
• Morphological Image Processing
• Watermarking and Authentication
• Image Segmentation
• Image Quality Assessment
• Video Processing Applications

Track 3. Communication, Embedded and Automated Systems

• Wireless & Mobile Communication
• Sensors & Adhoc Networks
• VLSI Systems & Applications
• Embedded Systems for real time environments
• Real Time Modeling & Simulations
• Biomedical Instruments, devices & Sensors
• Robotics & Mechanics
• Smart Electronics, MEMS & BioMEMS
• Intelligent Systems & Interfaces
• Modern and Advanced Control Strategies
• Hybrid Systems
• Biological & Bio-inspired Computing Systems
• Adaptive & Optimal Control Systems
• Multimedia & Real time Communication Systems
• Mobile Network Traffic Engineering, Performance & Optimization
• Mobile multimedia applications & Services
• Multimedia Computing & Systems
• Application Specific Processors & Devices
• Nano Devices & Systems
• Nanomaterials, Technologies & Applications
• Photonic & Optoelectronic circuits

Track 4. Networks and Security

• Wired and Wireless Networks
• Cryptography and Network Security
• Network protocols
• Mobile Ad-hoc Network
• Wireless Sensor Networks
• QoS and Resource Management
• Network Architecture

Track 5. Data Mining, Soft Computing, Pattern Recognition

• Discovering patterns in continuous data
• Uncertainty management for data mining
• Clustering algorithms and applications
• Classification trees
• Mining time series
• Mining in a Mobile Environment
• Statistical Considerations in Learning
• XML Mining
• Text Mining
• Distributed Data Mining
• Database querying
• Database querying and static routing algorithms
• Machine Learning and applications

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