Abstract— Peer-to-Peer (P2P) systems provide decentralization, self-organization, scalability and failure-resilience, but suffer from high worst-case latencies. Researchers have ...
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...
This paper addresses the problem of efficient and accurate performance analysis to drive the exploration and design of bus-based System-on-Chip (SOC) communication architectures. ...
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
In this paper a typology is introduced for interorganisational control mechanisms for network organisations. We also show how the design and analysis of such inter-organisational ...