Forecasting Internet traffic is receiving an increasing attention from the computer networks domain. Indeed, by improving this task efficient traffic engineering and anomaly detect...
Paulo Cortez, Miguel Rio, Pedro Sousa, Miguel Roch...
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Forecasting of wave height is necessary in a large number of ocean coastal activities. Recently, neural networks are used for prediction and approximation of wave heights in sea a...
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
In this paper, we present a dynamic power management technique for optimizing the use of virtual channels in network on chips. The technique which is called dynamic virtual channe...
Amir-Mohammad Rahmani, Masoud Daneshtalab, Ali Afz...