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Performance improvement and Lyapunov stability analysis of nonlinear systems using hybrid optimization techniques
Using Hybrid optimization algorithms for nonlinear systems analysis is a novel approach. It is a powerful technique that uses the exploitation ability of one algorithm and the exploration ability of another algorithm, to ...
Using combined biomolecular methods to explore whale exploitation and social aggregation in hunter-gatherer-fisher society in Tierra del Fuego
(Elsevier, 2016-04)
Cetaceans were an important food and raw material resource for the South American hunter-gatherer-fisher (HGF) communities of Tierra del Fuego. Historic ethnographic evidence suggests that relatively mobile HGF groups came ...
A scheduler synthesis methodology for joint SW/HW design exploration of SoC
(Springer, 2010-06)
The introduction of high-performance applications such as multimedia applications into SoCs led the manufacturers to provide embedded SoCs able to offer an important computing power which makes it possible to answer the ...
Exploring the application of process mining techniques to improve web application security
(Centro Latinoamericano de Estudios de Informática, 2021)
Web applications are permanently being exposed to
attacks that exploit their vulnerabilities. To detect and prevent
misuse of the functionality provided by an application, it has
become necessary to develop techniques ...
Influência do uso do sistema de mensuração de desempenho na ambidestria organizacional e no desempenho no setor de software
(Universidade Estadual de MaringáDepartamento de Ciências ContábeisPrograma de Pós-Graduação em Ciências ContábeisMaringá, PRCentro de Ciências Socais Aplicadas, 2021)
Towards the improvement of machine learning peak runoff forecasting by exploiting ground- and satellite-based precipitation data: A feature engineering approach
(Universidad de Cuenca, 2023-05-10)
Peak runoff forecasting in complex mountain systems poses significant challenges in hydrology
due to limitations in traditional physically-based models and data scarcity. However, the
integration of machine learning (ML) ...
Mulheres escravas e forras na mineração no Brasil, século XVIII
(Universidade Federal de Minas GeraisBrasilFAF - DEPARTAMENTO DE HISTÓRIAUFMG, 2020)
This article highlights the important presence of slave women in the golden and diamond mining in the captaincy of Minas Gerais, Brazil, between the 1680s, when gold was discovered in the region, and 1822, when Brazil’s ...
Datação de Processos Diagenéticos em Arenitos-Reservatório de Hidrocarbonetos: Uma Revisão ConceitualDating of diagenetic processes in hydrocarbon reservoir-sandstones: a conceptual review
(Instituto de Geociências /Universidade Federal do Rio Grande do Sul, 2008)
A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification
Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...