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Impact of reduction of radiometric resolution in hyperspectral images acquired over forest field
(2018-09-20)
The objective of this study was to evaluate the impact of reducing the radiometric information of hyperspectral images. The image data was collected originally with 32 bits and rescaled to 8 and 16 bit/pixel. The images ...
A real time protocol for the internet based on the least mean square algorithm
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2004)
Generally, real-time applications based on User Datagram Protocol (UDP) protocol generate large volumes of data and are not sensitive to network congestion. In contrast, Transmission Control Protocol (TCP) traffic is ...
Pronóstico de series de tiempo de viento multifractales
(Universidad Michoacana de San Nicolás de Hidalgo, 2022-09)
In this work, the forecast errors produced by the ARIMA, Deep Learning and Persistence models, models applied to two time series to predict the wind speed one step ahead, were analyzed. The analysis consisted of verifying, ...
Application of partial least square regression to differential scanning calorimetry data for fatty acid quantitation in olive oil
(Elsevier, 2011-08)
A chemometric approach based on partial least (PLS) square methodology was applied to unfolded differential scanning calorimetry data obtained by 63 samples of different vegetable oils (58 extra virgin olive oils, one olive ...
Time series forecasting based on ensemble learning methods applied to agribusiness, epidemiology, energy demand, and renewable energy
(Pontifícia Universidade Católica do ParanáPato BrancoBrasilPrograma de Pós-Graduação em Egenharia de Produção e SistemasPUCPR, 2021-12-03)
Time series forecasting and analysis are helpful in the decision-making process. However, exogenous factors, nonlinearities, and seasonality make developing efficient forecasting models challenging. In this context, the ...
Modelo híbrido basado en stacking para mejorar la predicción de la temperatura del motor eléctrico raghavendra
(Universidad César VallejoPE, 2023)
La presente investigación tuvo como objetivo aplicar un modelo hibrido basado en
Stacking para predecir la temperatura del motor eléctrico Raghavendra, siendo de
tipo aplicada, pre-experimental y de diseño experimental; ...
Assessment of scattering error correction techniques for AC-S meter in a tropical eutrophic reservoir
(2018-05-01)
Measurements of absorption coefficients (a(λ), in m-1) collected by spectrophotometers in situ are overestimated due to the scattering of the reflecting tube absorption meter. Accurate correction of these data is essential ...
A Factor Augmented Vector Autoregressive model and a Stacked De-noising Auto-encoders forecast combination to predict the price of oil
(2019-01-24)
A dissertação a seguir tem como objetivo mostrar os benefícios de uma combinação de previsão entre uma metodo econométrico e um de Deep Learning. De um lado, um Factor Augmented Vector Autoregressive (FAVAR) com identificação ...