Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
Erik Schaffernicht, Volker Stephan, Klaus Debes, H...
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Abstract. As systems become more service oriented and processes increasingly cross organizational boundaries, interaction becomes more important. New technologies support the devel...
Wil M. P. van der Aalst, Arjan J. Mooij, Christian...
Abstract. In this paper we describe an Integrated Development System for Instructional Model for E-learning (INDESIME) to create and to maintain instructional models using adaptive...
Abstract. Autonomic computing is being advocated as a tool for managing large, complex computing systems. Specifically, self-organisation provides a suitable approach for developi...
Ramachandra Kota, Nicholas Gibbins, Nicholas R. Je...