The Semantic Link Network model SLN and Resource Space Model RSM are semantic models proposed separately for effectively specifying and managing versatile resources across the Inte...
A number of computational models of visual attention exist, but making comparisons is difficult due to the incompatible implementations and levels at which the simulations are con...
Albert L. Rothenstein, Andrei Zaharescu, John K. T...
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
Abstract. This paper introduces a model for simulating regulatory networks that is capable of reproducing spatial and temporal expression patterns in developmental processes. The m...
Location models are crucial to location-aware applications. In this paper we present two approaches for modeling location information in an infrastructure-based and an ad hoc netwo...