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Mostrando ítems 51-60 de 1890
Modelo de ensembles multiníveis para classificadores
(2018)
Um comitê de máquinas, ou ensemble, é uma combinação de diversos classificadores por meio de uma estratégia pré-estabelecida. Seu uso tem sido comum na literatura para garantir um aumento de generali- zação nos problemas ...
Atualização do sistema de previsão atmosférica regional por conjunto através do modelo WRF na Epagri/Ciram
(Florianópolis, SC, 2022-04-01)
Este trabalho descreve a implementação do sistema de previsão atmosférica por conjunto (weather ensemble forecast) implementado na Epagri/Ciram, no qual fornece os dados de entrada para a previsão de geadas da própria ...
Ensemble Deep Learning for Wear Particle Image Analysis
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
This technical note focuses on the application of deep learning techniques in the area of lubrication technology and tribology. This paper introduces a novel approach by employing deep learning methodologies to extract ...
BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
An ensemble forecasting framework for time series
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11)
Forecasting for businesses is essential and, because small to medium sized enterprises cannot afford to spend the resources on accurate forecasting, the necessity to
build step-by-step procedures that aid in this process ...
Ensemble classification method for structural damage assessment under varying temperature
(SAGE Publications Ltd, 2017)
Vibration-based damage assessment approaches use modal parameters, such as frequency response functions, mode shapes, and natural frequencies, as indicators of structural damage. Nevertheless, these parameters are sensitive ...
COVID-19 Disease Prediction Using Weighted Ensemble Transfer Learning
Health experts use advanced technological equipment to find complex diseases and diagnose them. Medical imaging nowadays is popular for detecting abnormalities in human bodies. This research discusses using the Internet ...
Natural variability vs forced signal in the 2015–2019 Central American drought
(2021)
The recent multi-year 2015–2019 drought after a multi-decadal drying trend over Central
America raises the question of whether anthropogenic climate change (ACC) played a role
in exacerbating these events. While the ...