This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
Traditional global search heuristics to solve constraint satisfaction problems focus on properties of an individual variable that mandate early search attention. If, however, one ...
The paper presents a comparative performance study of the two main classes of randomized binary consensus protocols: a local coin protocol, with an expected high communication com...
Henrique Moniz, Nuno Ferreira Neves, Miguel Correi...
Selecting a strong cryptographic algorithm makes no sense if the information leaks out of the device through sidechannels. Sensitive information, such as secret keys, can be obtai...
This paper describes a system that supports high availability of data, until the data should be expunged, at which time it is impossible to recover the data. This design supports ...