Browsing by Subject "Data models"
Now showing items 1-7 of 7
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A Characteristic Surface Generated by Multivariate Kernel Regression for Assessing Wave Power in the Peru Basin
(IEEE, 2023)Acceso restringidoThe Peru Basin is an unexplored source of clean energy. Projects to install wave farms in this region depend on assessing the energy power that this domain can offer. The state-of-the-art indicates that the technology for ... -
Anticipating Subsequent Waves from First Wave Parameters in the Ongoing Covid-19 Pandemic
(Institute of Electrical and Electronics Engineers, 2021-08-19)Acceso restringidoThis paper focuses on the mathematical construction of a model that describes the statistical properties of a second wave of infections by Corona Virus Disease 2019 (Covid-19 in short) from the information of a first one. ... -
Applicability of the Standard Sea Spectrums and New Calibration Coefficients for the Wave Energy Period Calculation of the Peru Sea Basin
(IEEE, 2022)Acceso restringidoCalculation of accurate ocean wave energy values is crucial for evaluating the feasibility of the installation of wave energy converters. Wave power can be calculated using a spectral parametric formulation. This parametric ... -
Exploring Geographical Topologies and Diffusion of Monkeypox Infections at the Beginning Pandemic
(IEEE, 2022)Acceso restringidoAlthough a bit more of 2 months from the outbreak of Monkeypox pandemic, global data of number of infections are exhibiting an exponential behavior due to a fast propagation. In this paper it is analyzed the reported data ... -
Global Pandemics Dictated by Noncommutative Algebra
(IEEE, 2024)Acceso restringidoThe apparition of a global pandemic commonly seen as a random, is unpredictable in both geographic location as well as time. For example, Monkeypox disease 2022 could have emerged rather before than Corona virus disease ... -
Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present
(Universidad Autónoma del Perú, 2021-10-18)Acceso restringidoThe data of infections by Covid-19 is modeled through the integer-order Bessel functions that have been parametrized in according to the morphology of data. In particular, the modeling is focused on official data belonging ... -
Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic
(Universidad Autónoma del Perú, 2021-10-18)Acceso restringidoBased in the fact that ongoing pandemic is caused by a kind of disorder, this paper employs the concept of Shannon entropy to model data of infections by Covid-19. The usage of this represents a proposal as a type of ...
