A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
As applications tend to grow more complex and use more memory, the demand for cache space increases. Thus embedded processors are inclined to use larger caches. Predicting a miss i...
In enterprise and data center networks, the scalability of the data plane becomes increasingly challenging as forwarding tables and link speeds grow. Simply building switches with...
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...