Stefan S. Dimov

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The data set used can influence the way in which inductive learning algorithms generate rules. A good set of training examples is a very important factor in obtaining high training and test accuracies but algorithm execution time can be greatly affected by the input data. The use of specific examples decreases the time incurred when updating concept(More)
During the product development, Automatic Feature Recognition (AFR) techniques are an important tool for achieving a true integration of design and manufacturing stages. In particular, AFR systems offer capabilities for the identification in Computer-Aided Design (CAD) models of high-level geometrical entities, features that are semantically significant for(More)
An experimental arrangement is described where a Babinet-Soleil compensator is inserted into the path of one of the three beams used for noncoplanar beam interference lithography. This birefringent element can change the phase of the beam so that either a positive two-dimensional pattern or an inverselike structure is generated in a photoresist without(More)
Automatic Feature Recognition (AFR) techniques are an important tool for achieving a true integration of design and manufacturing stages during the product development. In particular, AFR systems offer capabilities for recognising high-level geometrical entities, features, in Computer-Aided Design (CAD) models. However, the recognition performances of most(More)
Given that Micro and Nano Technologies (MNTs) is still an emerging field, it is important to adopt a tool for evaluating the maturity of MNT-based products and the production processes enabling their manufacture. In particular, as a risk assessment tool, it could help both the pace of technological adoption and the successful exploitation of these(More)