Global and regional trends indicate that energy demand will soon be covered by a
widespread deployment of renewable energy sources. However, the weather and climate …

Background Support vector machines (SVM) are a powerful tool to analyze data with a
number of predictors approximately equal or larger than the number of observations …

Background In transitioning from the Millennium Development Goal to the Sustainable
Development Goal era, it is imperative to comprehensively assess progress toward reducing …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

This book presents recently developed statistical methods and theory required for the
application of the tools of functional data analysis to problems arising in geosciences …

Abstract In August 2018, the first Doppler wind lidar, developed by the European Space
Agency (ESA), was launched on board the Aeolus satellite into space. Providing …

Genetic algorithms are stochastic iterative algorithms in which a population of individuals
evolve by emulating the process of biological evolution and natural selection. The R …

Abstract We present the Kepler Object of Interest (KOI) catalog of transiting exoplanets
based on searching 4 yr of Kepler time series photometry (Data Release 25, Q1–Q17). The …

This paper investigates the application of stochastic dynamic programming to the
optimization of charging and frequency regulation capacity bids of an electric vehicle (EV) in …

The complexity of eye-movement control during reading allows measurement of many
dependent variables, the most prominent ones being fixation durations and their locations in …