As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour pathologies is used to assist expert diagnosis. The high dimensionality of the MR spectra might obscure atypical aspects of the data that would jeopardize their automated classification and, as a result, the process of computer-based diagnostic assistance. In this paper, we put forward a method t...

We present a new application of the Image Analogies algorithm to be used for image segmentation. Our approach requires supervised training data, so we apply it to the domain of labeling human anatomical data. In the Visible Human Project, expert anatomists are overwhelmed with high-resolution images to analyze. We propose that the anatomist can work in conjunction with our approach, letting the...

Stored insect pests can seriously depredate stored products causing worldwide economic losses. Pests enter countries traveling with transported goods. Inspection and Quarantine activities are essential to prevent the invasion and spread of pests. Identification of quarantine stored insect pests is an important component of the China’s Inspection and Quarantine procedure, and it is necessary not...

projects scheduling by the project portfolio selection, something that has its own complexity and its flexibility, can create different composition of the project portfolio. an integer programming model is formulated for the project portfolio selection and scheduling.two heuristic algorithms, genetic algorithm (ga) and simulated annealing (sa), are presented to solve the problem. results of cal...

1 Aims of the Project The specific aim of the TACITUS project is to develop interpretation processes for handling casualty reports (casreps), which are messages in free-flowing text about breakdowns of machinery. 1 These interpretation processes will be an essential component, and indeed the principal component, of systems for automatic message routing and systems for the automatic extraction o...

The paper reports on the work in the case study of the ACTIVE project on the use of the combination of knowledge process learning, articulation and sharing technologies for increasing the performance and decreasing the ramp-up efforts in engineering design projects. This knowledge is mined from distributed heterogeneous datasets, fused, and further used for visualizing design project plan infor...

Good software cost prediction is important for effective project management such as budgeting, project planning and control. In this paper, we present an intelligent approach to software cost prediction. By integrating the neuro-fuzzy technique with the well-accepted COCOMO model, our approach can make the best use of both expert knowledge and historical project data. Its major advantages inclu...

This paper forms the final component of the published research from the Simweb project, the European Commission Fifth Framework project which was investigating the possibility of providing consulting advice to New Economy SMEs. Our component of Simweb investigated the two market sectors – online news and online music – on which the project was focused. In this paper we summarise the results of ...