Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
An adaptation contract describes composition constraints and adaptation requirements among several services which were not initially built to interoperate with each other. The man...
Engineering adaptive Web applications implies the development of content that can be automatically adjusted to varying client devices and user preferences. To meet this requiremen...
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
This paper proposes error resilient video transcoding structures based on the multiple description (MD) scheme. Two structures are proposed for different use, namely low complexit...