Artificial Intelligent Systems (AIS)
Artificial intelligent techniques are employed in modelling of DNA mismatch repair expression and microsatellite instability in transitional cell carcinoma of the bladder and to improve the accuracy of the bladder cancer prediction. These models are then compared with conventional statistics using experimental molecular biomarkers, including p53 and the mismatch repair proteins. Development of support system for anaesthesia monitoring and control based on hierarchical structure containing fuzzy reasoning adaptation, supervision, surgical evaluation and alarm conditioning is underway. Different techniques based on signal processing, rule-based fuzzy logic control, wavelets, neuro-fuzzy modelling, genetic algorithms and real time control involving instrumentation interfaces will be pursued in the future. The research will also be undertaken to investigate implementation of smart, fuzzy and intelligent techniques for biomedical applications and development of blackboard intelligent system based on multi-agent control system for Cryogenic test equipment for electronics assessment, and Plasma Assisted Chemical Vapour Deposition.
