Forecasts of maximum and minimum air temperatures are essential to mitigate the damage
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …

Hyperspectral images consist of large number of bands which require sophisticated analysis
to extract. One approach to reduce computational cost, information representation, and …

Automated resource provisioning techniques enable the implementation of elastic services,
by adapting the available resources to the service demand. This is essential for reducing …

In this paper we give a systematic analysis of the relationship between imbalance and
overlap as factors influencing classifier performance. We demonstrate that these two factors …

The reliable and robust monitoring of air temperature distribution is essential for urban
thermal environmental analysis. In this study, a stacking ensemble model consisting of multi …

This paper hybridizes the gravitational search algorithm (GSA) with support vector machine
(SVM) and makes a novel GSA-SVM hybrid system to improve classification accuracy with …

Support vector machines (SVMs) were originally formulated for the solution of binary
classification problems. In multiclass problems, a decomposition approach is often …

This paper presents a new design automation tool, based on a modified genetic algorithm
kernel, in order to improve efficiency on the analog IC design cycle. The proposed approach …

The microelectronics market, with special emphasis to the production of complex mixed-
signal systems-on-chip (SoC), is driven by three main dynamics, time-tomarket, productivity …

Abstract Support Vector Machines (SVM s) deliver state-of-the-art performance in real-world
applications and are now established as one of the standard tools for machine learning and …