Indiana State University has found a way in its 25+ computing facilities to combine the need for a central stable lab image and small support staff with the academic needs of flex...
— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
Adaptive learning systems are recognized as one of the most interesting research topics in intelligent learning management systems. Taking as a point of departure the practices an...
In this paper a novel approach for the tool–based quality assurance of models is presented. The approach provides a meta model framework for domain specific and tool–independe...
In this paper we propose an improved alternative for the path key establishment phase of bootstrapping in a sensor network. Our scheme lets the network adapt to the deployment con...