Author:Mthembu, N S; Greene, J RDate:2004Measures of class separability can provide valuable insights into data, and suggest promising classification algorithms and approaches in data mining. We compare three simple class separability measures used in supervised machine learning. ...Read more
Author:Greene, J RDate:2004The low-dimensional visualisation of highdimensional data is a valuable way of detecting structure (such as clusters, and the presence of outliers) in the data, and avoiding some of the pitfalls of blind data manipulation. Projection based ...Read more
Author:Rawstorne, Alexander FDate:1993Cracks and surface imperfections in railway track are important when considering its lifetime. This thesis investigates the feasibility of a new electro-optic technique which records surface irregularities on a track. It is more sensitive to ...Read more
Author:Dann, Michael StephenDate:1981A method for the improvement of the range and accuracy achieved by the cross-correlation flowmeter is investigated. The principles of the flowmeter operation and fundamental digital signal processing techniques are reviewed. The process of ...Read more
Author:Geerdts, C DDate:1987The aim of the dissertation is to explore a method of enhancing learning in the Electrical Engineering curriculum, which effectively exploits the computer. The different modes used in computer-based learning are discussed and compared, and ...Read more