Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
Previous research has addressed the scalability and availability issues associated with the construction of cluster-based network services. This paper studies the clustering of re...
Kai Shen, Tao Yang, Lingkun Chu, JoAnne Holliday, ...
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
There are many structured P2P systems that use DHT technologies to map data items onto the nodes in various ways for scalable routing and location. Most of the systems require O(lo...
—The paper discusses the end-to-end QoS provisioning for scalable video streaming traffic delivery over heterogeneous IP/UMTS networks. A prototype architecture is proposed, and ...
Thomas Pliakas, George Kormentzas, Charalabos Skia...