This paper presents new approach to power system automation, based on distributed intelligence rather than traditional centralised control. The paper investigates the interplay bet...
Neil Higgins, Valeriy Vyatkin, Nirmal-Kumar C. Nai...
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
The concepts of modulation frequency along with modulation spectra are originally encountered in acoustics, speech and audio processing. The modulation spectrum, a function of aco...
This paper develops and investigates a new approach for evaluating feature based object hypotheses in a direct way. The idea is to compute a feature likelihood map (FLM), which is ...
In this paper we present an architecture dedicated to an intelligently assisted educational tool which integrates within a unified framework software rational agents both at the m...