Proceedings ArticleDOI
Brazilian Soil Bulk Density Prediction Based on a Committee of Neural Regressors
Diego B. Haddad,Laura Silva de Assis,Luís Tarrataca,Andréa da Silva Gomes,Marcos Bacis Ceddia,Rosane Ferreira de Oliveira,Jurair R. de P. Junior,Diego N. Brandão +7 more
- pp 1-8
TLDR
The proposed non-linear regressor presents higher precision when compared to the linear model, and requires less information to do so, and the developed solution brings to light the assumed relationship between soil bulk density and some soil chemical properties.Abstract:
Computer models have been an important tool to determine soil bulk density. This soil property is fundamental to estimate soil carbon reserves and consequently to understand the global carbon cycle. The estimation of soil bulk density is not a trivial task since it demands an intensive and often impractical work. The purpose of this paper is to evaluate the performance of a pedotransfer function against an Artificial Neural Networks to estimate soil bulk density for soils at Brazilian biomes. The first one consists of a linear model composed of a Least Square method. The latter employs a robust committee of multilayer perceptron networks and a model selection procedure based on k-fold cross-validation. The data are composed of 3404 soil layers distributed in different Brazilian regions and with different uses. The proposed non-linear regressor presents higher precision when compared to the linear model, and requires less information to do so. Additionally, the developed solution brings to light the assumed relationship between soil bulk density and some soil chemical properties.read more
Citations
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Journal ArticleDOI
Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi
TL;DR: This work attempts to gain a better understanding of how COVID-19 will affect one of the least studied countries, namely Brazil, by extending the SEIR model with an on / off strategy and developing a neural regressor.
Journal ArticleDOI
Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazil
TL;DR: In this paper, the authors attempted to gain a better understanding of how COVID-19 will affect one of the least studied countries, namely Brazil, by extending the SEIR model with an on/off strategy.
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Interrogation system for optical sensor using filter bank and artificial neural network
Proceedings ArticleDOI
Avaliação do Paralelismo em Python para Otimizar uma Abordagem de Identificação de Máscaras Faciais utilizando Redes Neurais Artificiais
Natan Steinbruch,Vinícius Rafael Neris dos Santos,Nicholas Villela,Gabriel Renato Camargo,Andre Xavier,Diego N. Brandão +5 more
TL;DR: In this paper, an approach using Artificial Neural Networks (ANN) to identify people who do not use face masks in an image database is presented, and the results obtained demonstrate that although the parallelism used in the Python language with the Numpy library is punctual, it positively impacts the developed approach's execution time.
References
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