Thesiss

Stochastic approximation is concerned with characterisation of the long term behaviour of recursive random algorithms. For example, does the algorithm converge to a unique fixed point, for all initial points? This problem is well-understood, via the Kushner-Clark theorem, only i…

Vector Quantization importance has been increasing and it is becoming a vital element in the process of classification and clustering of different types of information to help in the development of machines learning and decisions making, however the different techniques that imp…

This research focuses on the development of a novel adaptive dynamical system approach to vector quantization or clustering based on only ordinary differential equations (ODEs) with potential for a real-time implementation. The ODE-based approach has an advantage in making it po…

White blood cell neutrophil is a key component in the fast initial immune response against bacterial and fungal infections. Granulocyte colony stimulating factor (G-CSF) is naturally produced in the body and controls the neutrophils production in the bone marrow and the neutroph…