Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
This paper's intention is to adapt prediction algorithms well known in the field of time series analysis to problems being faced in the field of mobile robotics and Human-Robo...
Abstract— Energy efficiency is a fundamental issue for outdoor sensor network systems. This paper presents the design and implementation of multi-dimensional power management st...
Tian He, Pascal Vicaire, Ting Yan, Qing Cao, Gang ...
We present a novel and unique combination of algorithms to detect the gender of the leading vocalist in recorded popular music. Building on our previous successful approach that e...
Felix Weninger, Jean-Louis Durrieu, Florian Eyben,...
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...