Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
The effect of frost on the successful growth and quality of crops is well understood by growers as leading potentially to total harvest failure. Studying the frost phenomenon, espe...
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Ke...
A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user’s hand gestures rapidly. This improves pro...