Traffic Pattern Analysis and Anomaly Detection via Probabilistic Inference Model
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The principal question we address in this work is the following: "Is Markov modelling appropriate to analyse data networks?". We will conclude that it is. The motivation for this question comes from the work of a research team at Bellcore who argue that th ...
Olfactometer experiments are used to determine the effect of odours on the behaviour of organisms such as insects or nematodes, and typically result in data comprising many groups of small overdispersed counts. We develop a non-homogeneous Markov chain mod ...
In this paper we describe ongoing work in the Electrical and Computer Engineering Department at the University of Florida as we offer an Online MS degree in Electrical Engineering and as we proceed with the development of major components of a BS degree in ...
Vehicle to Vehicle communication (V2V) and Vehicle to Infrastructure communication (V2I) promise to improve road safety and optimize road traffic through cooperative systems applications. A prerequisite for the successful deployment of vehicular communicat ...
Combining several classifiers has proved to be an efficient machine learning technique. Two concepts influence clearly the efficiency of an ensemble: the diversity between classifiers and the individual accuracies of the classifiers. We use an information ...