— Many previously proposed routing metrics and algorithms for ad hoc networks work well in static networks, however, when nodes are moving and wireless links may fail from time t...
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
—Knowledge of a network’s topology and internal characteristics such as delay times or losses is crucial to maintain seamless operation of network services. Network tomography ...
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...