In this paper we present a new algorithm for computing reduced-order models of interconnect which utilizes the dominant controllable subspace of the system. The dominant controlla...
Abstract. Teaching formal methods is a challenging task for several reasons. First, both the state-of-the-art knowledge and the tools are rapidly evolving. Second, there are no com...
This position paper proposes a device-blending architecture for aggregating device functionality via inter-device peer-topeer relationships, effectively forming a multi-device “...
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
Background: CellML is an XML based language for representing mathematical models, in a machine-independent form which is suitable for their exchange between different authors, and...
Andrew K. Miller, Justin Marsh, Adam Reeve, Alan G...