IJCSITCE 2014 - International Journal of Computational Science, Information Technology and Control Engineering

The International Journal of Computational Science, Information Technology and Control Engineering (IJCSITCE) is an open access peer-reviewed journal that publishes quality articles which make innovative contributions in all areas of Computational Science, Mathematical Modelling, Information Technology, Networks, Computer Science, Control and Automation Engineering. IJCSITCE is an abstracted and indexed journal that focuses on all technical and practical aspects of Scientific Computing, Modelling and Simulation, Information Technology, Computer Science, Networks and Communication Engineering, Control Theory and Automation. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced techniques in computational science, information technology, computer science, chaos, control theory and automation, and establishing new collaborations in these areas.
Areas and subareas of interest include (but are not limited to):
Adaptive control and stability theory
Advanced computing techniques
Advanced control techniques
Algorithms
Applications of modelling in engineering
Automation
Biomedical engineering
Biomedical instrumentation
Chaos theory and control
Communication engineering
Computational biology
Computational science
Computers and information technology
Computer vision
Control applications
Digital electronics
Digital image processing
Digital signal processing
Discrete Mathematics
Electric energy and automation
Electronics and communication engineering
Embedded systems
Evolutionary algorithms
Fault detection and isolation
Filtering
Flight control and surveillance systems
Fuzzy logic and control
Genetic algorithms and applications
Genetic algorithms and evolutionary computing
Guidance control systems
Hybrid systems
Image processing
Industrial applications
Industrial automation
Industry, military, space applications
Information technology
Instrumentation and control components
Intelligent systems
Linear and nonlinear control systems
Mathematical and computer modelling
Measurement techniques
Network based systems
Neural networks and fuzzy logic
Optimization and optimal control
Pattern recognition
Power Systems
Process control and instrumentation
Robotics and applications
Robust control
Sampled-data control systems and digital control
Scientific and engineering modeling
Scientific computing
Secure communication
Simulation and applications
Signal processing
Soft computing techniques in control
Stochastic control and filtering
System identification and control
System modeling and control
Systems and automation