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...
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
Effectively managing a supply chain requires visibility to detect unexpected variations in the dynamics of the supply chain environment at an early stage. This paper proposes a me...
Alfonso Sarmiento, Luis Rabelo, Ramamoorthy Lakkoj...
In least squares support vector (LS-SVM), the key challenge lies in the selection of free parameters such as kernel parameters and tradeoff parameter. However, when a large number ...
— A camera sensor network is a wireless network of cameras that are designed for ad-hoc deployment. The camera sensors in such a network need to be properly calibrated by determi...
Xiaotao Liu, Purushottam Kulkarni, Prashant J. She...