The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …

Purpose The purpose of this paper is to review recent studies published from 2007 to 2015
on tourism and hotel demand modeling and forecasting with a view to identifying the …

Recent findings showed that users on Facebook tend to select information that adhere to
their system of beliefs and to form polarized groups–ie, echo chambers. Such a tendency …

We establish the convergence of a class of numerical algorithms, known as dynamic mode
decomposition (DMD), for computation of the eigenvalues and eigenfunctions of the infinite …

The core version of the Norwegian Climate Center's Earth System Model, named NorESM1-
M, is presented. The NorESM family of models are based on the Community Climate System …

Global climate model (GCM) output typically needs to be bias corrected before it can be
used for climate change impact studies. Three existing bias correction methods, and a new …

A new Ensemble Empirical Mode Decomposition (EEMD) is presented. This new approach
consists of sifting an ensemble of white noise-added signal (data) and treats the mean as …

We present a rank reduction algorithm that permits simultaneous reconstruction and random
noise attenuation of seismic records. We based our technique on multichannel singular …

Short instrumental streamflow records in the South and East Tibetan Plateau (SETP) limit
understanding of the full range and long-term variability in streamflow, which could greatly …

Astronomical calculations reveal the Solar System's dynamical evolution, including its
chaoticity, and represent the backbone of cyclostratigraphy and astrochronology. An …