This introduction recalls the considerable socio-economic challenges associated with
extreme natural hazards. The possibilities of statistical quantification of past hazards and …

This millennium will observe the rising growth of parallel computing and wider use of these
technologies at every level of mainstream computing. Parallel computing is becoming an …

Background The global changes that are currently threatening the natural environment
demand appropriate answers and solutions by the environmental science community. The …

In the rapidly expanding field of parallel processing, job schedulers act as the" operating
systems" of the clusters, including modern big data architectures and supercomputing …

The rise in multiprocessors has led to the incorporation of parallel processing in virtually all
segments of industry. Creation of and maintenance for the software to run these systems, as …

In this study, the efficiency of parallel and serial computation techniques for aggregating
data from diverse regions is investigated. Parallel computation breaks data into smaller …

In this work, we compare various machine learning models for weather forecasting in
tropical regions. We take the Colombian case as an example, using a dataset with monthly …

This article presents the best semiannual forecast of electricity demand by proposing a
generalized algorithm that, using thread-based parallel computing, will select the optimal …

Global environmental changes, linked to climate, biodiversity, environmental degradation,
pollution, and others are threatening our planet more and more every day, with negative …

El modelado es la disciplina que permite analizar y simular el comportamiento de un
determinado sistema mediante una representación numérica de sus propiedades. Entre sus …