This comparative international case study of cyber warfare provides a context for considering the evolution of cyber technologies as elements of hybrid warfare capable of creating confusion, disrupting communications, and impacting physical infrastructure (such as power grids and satellite-based...

Temperature study and model development related to estimation is an essential and important task not only for a human life but also for animal life, agriculture, tourism, water reservation and evaporation, and many other fields. Regression is considered a dominant prediction model which is...

This paper presents a new approach to deal with agricultural crop recognition using SVM (Support Vector Machine), applied to time series of NDVI images. The presented method can be divided into two steps. First, the Timesat software package is used to extract a set of crop features from the NDVI...

To better understand task failures in cloud computing systems, the authors analyze failure frequency of tasks based on Google cluster dataset, and find some frequently failing tasks that suffer from long-term failures and repeated rescheduling, which are called killer tasks as they can be a big...

This study intends to estimate the different characteristics of price transmission and aims to test the hypothesis of price transmission asymmetry based on agricultural, processor and consumer monthly series of price indexes from 2005 to 2012 in 8 European countries from both Southern and...

The author makes a deep revision of the main implications of Nonlinearity, Complexity and Chaos Theory in the analysis of economic behaviour and particularly in Econometric Analysis, analysing the characteristics of the new Complex Econometrics.

This paper applies non-linear methods to analyze and predict the daily VIX index which is one of the most important stock indexes in the world. The aim of the analysis is to quantitatively show if the corresponding time series is a deterministic chaotic one and if one or more days ahead...