Search Results - "de Oliveira, João F."

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  1. 1

    A Hybrid System Based on Dynamic Selection for Time Series Forecasting by de Oliveira, Joao F. L., Silva, Eraylson G., de Mattos Neto, Paulo S. G.

    “…Hybrid systems, which combine statistical and machine learning (ML) techniques using residual (error forecasting) modeling, have been highlighted in the…”
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    Journal Article
  2. 2

    Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble by de Mattos Neto, Paulo S. G., de Oliveira, João F. L., Bassetto, Priscilla, Siqueira, Hugo Valadares, Barbosa, Luciano, Alves, Emilly Pereira, Marinho, Manoel H. N., Rissi, Guilherme Ferretti, Li, Fu

    Published in Sensors (Basel, Switzerland) (03-12-2021)
    “…The employment of smart meters for energy consumption monitoring is essential for planning and management of power generation systems. In this context,…”
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    Journal Article
  3. 3

    Solar Irradiance Forecasting Using Dynamic Ensemble Selection by de O. Santos, Domingos S., de Mattos Neto, Paulo S. G., de Oliveira, João F. L., Siqueira, Hugo Valadares, Barchi, Tathiana Mikamura, Lima, Aranildo R., Madeiro, Francisco, Dantas, Douglas A. P., Converti, Attilio, Pereira, Alex C., de Melo Filho, José Bione, Marinho, Manoel H. N.

    Published in Applied sciences (01-04-2022)
    “…Solar irradiance forecasting has been an essential topic in renewable energy generation. Forecasting is an important task because it can improve the planning…”
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    Journal Article
  4. 4
  5. 5

    An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis by Leite, Denis, Martins, Aldonso, Rativa, Diego, De Oliveira, Joao F. L., Maciel, Alexandre M. A.

    Published in Sensors (Basel, Switzerland) (01-08-2022)
    “…This work presents a novel Automated Machine Learning (AutoML) approach for Real-Time Fault Detection and Diagnosis (RT-FDD). The approach’s particular…”
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    Journal Article
  6. 6

    Evolutionary Hybrid System for Energy Consumption Forecasting for Smart Meters by Izidio, Diogo M. F., de Mattos Neto, Paulo S. G., Barbosa, Luciano, de Oliveira, João F. L., Marinho, Manoel Henrique da Nóbrega, Rissi, Guilherme Ferretti

    Published in Energies (Basel) (01-04-2021)
    “…The usage of smart grids is growing steadily around the world. This technology has been proposed as a promising solution to enhance energy efficiency and…”
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    Journal Article
  7. 7

    High niche partitioning promotes highly specialized, modular and non‐nested florivore–plant networks across spatial scales and reveals drivers of specialization by Cordeiro, Juliana, de Oliveira, João H. F., Schmitz, Hermes J., Vizentin‐Bugoni, Jeferson

    Published in Oikos (01-05-2020)
    “…Understanding patterns of ecological specialization, the processes underlying niche partitioning and how they translate into the structure of interaction…”
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    Journal Article
  8. 8

    Thermodynamic Analysis of Municipal Solid Waste Gasification Under Isothermal and Adiabatic Conditions by a Gibbs Free Energy Minimization Model by de Oliveira, João F., Corazza, Marcos L., Voll, Fernando A. P.

    Published in Waste and biomass valorization (01-05-2019)
    “…An equilibrium model has been developed to predict the composition of a gaseous mixture obtained from the gasification process of the Curitiba City Municipal…”
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    Journal Article
  9. 9

    A Hybrid Swarm-Based System for Commodity Price Forecasting During The Covid-19 Pandemic by Xavier, Andre L. S., Fernandes, Bruno J. T., De Oliveira, Joao F. L.

    Published in IEEE access (01-01-2023)
    “…Commodity price forecasting is an essential task for defining economic strategies to reduce the impact of inflation in several countries. During the covid-19…”
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    Journal Article
  10. 10

    An intelligent hybridization of ARIMA with machine learning models for time series forecasting by de O. Santos Júnior, Domingos S., de Oliveira, João F.L., de Mattos Neto, Paulo S.G.

    Published in Knowledge-based systems (01-07-2019)
    “…The development of accurate forecasting systems can be challenging in real-world applications. The modeling of real-world time series is a particularly…”
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    Journal Article
  11. 11

    Predictive framework of plant height in commercial cotton fields using a remote sensing and machine learning approach by da Silva Andrea, Maria Carolina, de Oliveira Nascimento, João Pedro F., Mota, Fabrícia Conceição Menez, de Souza Oliveira, Rodrigo

    Published in Smart agricultural technology (01-08-2023)
    “…Cotton is an important crop in the Brazilian agricultural business. This crop management has high technological and economic demand, thus the search for the…”
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    Journal Article
  12. 12

    Trichomes and Allelochemicals in Tomato Genotypes Have Antagonistic Effects Upon Behavior and Biology of Tetranychus urticae by de Oliveira, João R F, de Resende, Juliano T V, Maluf, Wilson R, Lucini, Tiago, de Lima Filho, Renato B, de Lima, Isabela P, Nardi, Cristiane

    Published in Frontiers in plant science (14-08-2018)
    “…Tomato genotypes selected for their high foliar zingiberene (ZGB) contents in a segregating F population were assessed to determine their effect on behavior…”
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    Journal Article
  13. 13

    Role of Angiotensin II in the Periovulatory Epidermal Growth Factor-Like Cascade in Bovine Granulosa Cells In Vitro by PORTELA, Valério M, ZAMBERLAM, Gustavo, GONCALVES, Paulo B. D, DE OLIVEIRA, Joao F. C, PRICE, Christopher A

    Published in Biology of reproduction (01-12-2011)
    “…Angiotensin II (AGT-2) induces follicular prostaglandin release in a number of species and ovulation in rabbits. Conversely, AGT-2 antagonists block ovulation…”
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    Journal Article
  14. 14

    A hybrid evolutionary decomposition system for time series forecasting by de Oliveira, João F.L., Ludermir, Teresa B.

    Published in Neurocomputing (Amsterdam) (05-03-2016)
    “…In the field of time series forecasting, the combination of linear and nonlinear models has been explored to improve the accuracy of predictions when compared…”
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    Journal Article
  15. 15

    Use of machine learning and multilevel analysis in hierarchical approaches of public expenditure forecasting by Neto, Jose Ivo Carille, Neto, Fernando B. de L., Joao de Oliveira, F. L.

    “…On the one hand, public expenditure can be decomposed into several levels of expenditure regarding each administrative unit and expenditure nature groups that…”
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    Conference Proceeding
  16. 16

    Development of a flow-injection analysis system with fluorescence detection for gatifloxacin determination in organized medium by Lima Vaz, Monica F., de Oliveira, João Vitor F., Cassella, Ricardo J., Pacheco, Wagner F.

    Published in Luminescence (Chichester, England) (01-05-2015)
    “…This work reports the development and optimization of a flow injection analysis system with fluorescence detection (FIA–FLUO) for gatifloxacin (GFX)…”
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    Journal Article
  17. 17

    Effect of CO^sub 2^ in the oxidative dehydrogenation reaction of propane over Cr/ZrO^sub 2^ catalysts by de Oliveira, João F S, Volanti, Diogo P, Bueno, José M C, Ferreira, Adriana P

    Published in Applied catalysis. A, General (25-05-2018)
    “…Investigation was made on the effect of chromium content, and method of hydrothermal preparation of Cr/ZrO2 catalysts on their catalytic properties for CO2…”
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    Journal Article
  18. 18

    Early detection of students at risk of failure from a small dataset by Leite, Denis, Filho, Edson, de Oliveira, Joao F. L., Carneiro, Rodrigo E., Maciel, Alexandre

    “…Predicting that a student is likely to fail in a course is critical for performing early interventions, prevent dropout and increase performance on distance…”
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    Conference Proceeding
  19. 19

    Swarm Based Ensembles for Time Series Residual Forecasting by de Holanda, Rafael Bergamo B., de Oliveira, Joao F. L.

    “…The forecasting of residual series has become a promising approach to improve the accuracy of forecasting systems. One important aspect of residual forecasting…”
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    Conference Proceeding
  20. 20

    A hybrid sequential system for inflation forecasting by Xavier, Andre L. S, Fernandes, Bruno J. T., de Oliveira, Joao F. L.

    “…Forecasting price indexes of the economy has received an attention from scholars and policy makers due to its significant effect on various sectors and…”
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    Conference Proceeding