Data persistency is a fundamental, but complex aspect of a modern software development process. Therefore, in order to reduce development costs and improve a system’s quality, s...
Gernot Schmoelzer, Stefan Mitterdorfer, Christian ...
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Triple20 is a ontology manipulation and visualization tool for languages built on top of the Semantic-Web RDF triple model. In this article we explain how a triple-centered design ...
d abstractions for high-performance remote data access, mechanisms for scalable data replication, cataloging with rich semantic and syntactic information, data discovery, distribut...
David E. Bernholdt, Shishir Bharathi, David Brown,...
Abstract - In this paper, an essential oil extraction system with self-refilling system is modeled based on inputoutput data collected from a dedicated acquisition system. The ARMA...
Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib, Yusof...