Search Results - "de Oliveira Carvalho, Frede"

Random Forest as a promising application to predict basic-dye biosorption process using orange waste by de Miranda Ramos Soares, Arthur Pontes, de Oliveira Carvalho, Frede, de Farias Silva, Carlos Eduardo, da Silva Gonçalves, Andreza Heloiza, de Souza Abud, Ana Karla

“…•Machine Learning Artificial Neural Networks and Random Forest were used to predict dye adsorption.•A total of 7 variables were tested, performing more than…”
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Recurrent neural networks for rainfall-runoff modeling of small Amazon catchments by de Mendonça, Leonardo Melo, Blanco, Claudio Jose Cavalcante, de Oliveira Carvalho, Frede

“…The insufficiency of hydrological time series prejudices the management of water resources in the Amazon, especially in small catchments. Thus, for the first…”
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Developing a kinetic model to describe wastewater treatment by microalgae based on simultaneous carbon, nitrogen and phosphorous removal by de Farias Silva, Carlos Eduardo, de Oliveira Cerqueira, Raphaella Barbosa, de Lima Neto, Cantídio Francisco, de Andrade, Francine Pimentel, de Oliveira Carvalho, Frede, Tonholo, Josealdo

“…•A kinetic model was developed to describe simultaneous C, N and P removal from wastewaters.•The first and second-order kinetic models studied described…”
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Application of machine learning to predict the yield of alginate lyase solid-state fermentation by Cunninghamella echinulata: artificial neural networks and support vector machine by De Farias Silva, Carlos Eduardo, Costa, Giselly Yanara Silva Canuto Mendes, Ferro, João Victor, de Oliveira Carvalho, Frede, da Gama, Brígida Maria Villar, Meili, Lucas, dos Santos Silva, Margarete Cabral, Almeida, Renata Maria Rosas Garcia, Tonholo, Josealdo

“…This work was aimed at applying machine learning techniques to predict Semi-Solid Fermentation (SSF) yield using Cunninghamella echinulata fungus for alginate…”
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Long-term relationships between climate oscillation and basin-scale hydrological variability during rainy season in eastern Northeast Brazil by Costa, Denis Duda, Uvo, Cintia B., Rolim Da Paz, Adriano, De Oliveira Carvalho, Frede, Fragoso Jr, Carlos R.

“…The high variability in the hydrological regime of the Eastern Hydrological Region (EHR) of Northeast Brazil often results in floods and droughts, leading to…”
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Kinetic modelling of ethanolic fermented tomato must (Lycopersicon esculentum Mill) in batch system: influence of sugar content in the chaptalization step and inoculum concentration by Vieira, Rosana Correia, De Farias Silva, Carlos Eduardo, da Silva, Lucas Oliveira Mendes, Almeida, Renata Maria Rosas Garcia, de Oliveira Carvalho, Frede, dos Santos Silva, Margarete Cabral

“…This work studies the production of alcoholic beverages using tomato pulp, aiming at characterizing fermentation kinetics by modelling. Batch fermentation…”
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Interpolação espacial de dados médios mensais pluviométricos com redes neurais artificiais by Henderson Silva Wanderley, Ricardo Ferreira Carlos de Amorim, Frede Oliveira de Carvalho

“…A falta de informação quanto à distribuição da precipitação é um sério obstáculo para se compreender e modelar sua variabilidade, surgindo assim a necessidade…”
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Acceptability of tropical fruit pulps enriched with vegetal/microbial protein sources: viscosity, importance of nutritional information and changes on sensory analysis for different age groups by Silva, Carlos Eduardo de Farias, Abud, Ana Karla de Souza, Silva, Izabelle Caroline Caetano da, Andrade, Nayana Pereira, Cerqueira, Raphaella Barbosa de Oliveira, Andrade, Francine Pimentel de, Carvalho, Frede de Oliveira, Almeida, Renata Maria Rosas Garcia, Souza, José Edmundo Accioly de

“…The combination of products traditionally consumed with other components with the alleged classification of functional food has become a continuous reality, if…”
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Daily streamflow forecasting in Sobradinho Reservoir using machine learning models coupled with wavelet transform and bootstrapping by Saraiva, Samuel Vitor, Carvalho, Frede de Oliveira, Santos, Celso Augusto Guimarães, Barreto, Lucas Costa, Freire, Paula Karenina de Macedo Machado

“…Improving forecasting techniques for streamflow time series is of extreme importance for water resource planning. Among the available techniques, those based…”
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Interpolação espacial de dados médios mensais pluviométricos com redes neurais artificiais by Wanderley, Henderson Silva, Amorim, Ricardo Ferreira Carlos de, Carvalho, Frede Oliveira de

“…A falta de informação quanto à distribuição da precipitação é um sério obstáculo para se compreender e modelar sua variabilidade, surgindo assim a necessidade…”
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Variabilidade espacial e preenchimento de falhas de dados pluviométricos para o estado de Alagoas by Wanderley, Henderson Silva, Amorim, Ricardo Ferreira Carlos de, Carvalho, Frede Oliveira de

“…A região tropical é marcada por apresentar grande variabilidade quanto à distribuição dos seus regimes pluviométricos, e o conhecimento dessa variabilidade…”
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Spatial variability and missing precipitation data filling in Alagoas state by WANDERLEY, Henderson Silva, AMORIM, Ricardo Ferreira Carlos de, CARVALHO, Frede Oliveira de

“…Tropical region is characterized by great variability in the distribution of the rainfall regimes, and knowledge of this variability is fundamental to achieve…”
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Variabilidade espacial e preenchimento de falhas de dados pluviométricos para o estado de Alagoas Spatial variability and missing precipitation data filling in Alagoas state by Henderson Silva Wanderley, Ricardo Ferreira Carlos de Amorim, Frede Oliveira de Carvalho

“…A região tropical é marcada por apresentar grande variabilidade quanto à distribuição dos seus regimes pluviométricos, e o conhecimento dessa variabilidade…”
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PROGNÓSTICO DA INCIDÊNCIA DE CASOS DE DENGUE NA CIDADE DE SALVADOR – BAHIA, UTILIZANDO A TRANSFORMADA WAVELET DISCRETA EM CONJUNÇÃO COM REDES NEURAIS ARTIFICIAIS by Soares, Arthur Pontes de Miranda Ramos, Alves, Pedro Henrique Pereira, Martins, Isabela Cavalcante, Barreto, Lucas Costa, Carvalho, Frede de Oliveira

“…A dengue é uma arbovirose que tem como vetores transmissores os mosquitos do gênero Aedes, e é considerada uma das doenças mais perigosas das quais pode ser…”
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