In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
Background: Recent genomic and bioinformatic advances have motivated the development of numerous network models intending to describe graphs of biological, technological, and soci...
Manuel Middendorf, Etay Ziv, Carter Adams, Jen Hom...
Classical models for motion detection with artificial neural networks are inspired in physiological data of simple visual systems. Local speed estimationis a problem that involves...
Francisco J. Vico, F. J. Garrido, Francisco Sandov...
In this work, we propose a design for a user attention model featuring three core components. Our system components can work in real-time, offering indications of user attention f...
Christopher Peters, Stylianos Asteriadis, Genaro R...
Based on an explicit formulation of delays, an improved model for low voltage operation of CMOS inverter has been derived. Extrinsic and intrinsic effects, such as transistor curr...