Výsledky vyhledávání - "Ribeiro, Matheus Henrique Dal Molin"

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Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization

Autor: Alba, Eduardo Luiz, Ribeiro, Matheus Henrique Dal Molin, Adamczuk, Gilson, Trojan, Flavio, Rodrigues, Erick Oliveira

Educational institutions are essential for economic and social development. Budget cuts in Brazil in recent years have made it difficult to carry out their activities and projects. In the case of expenses with water and electricity, unexpected situat

Externí odkaz: http://arxiv.org/abs/2410.19709

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Akademický článek

Exploring current trends in agricultural commodities forecasting methods through text mining: Developments in statistical and artificial intelligence methods

Autor: Guindani, Luana Gonçalves, Oliveirai, Gilson Adamczuk, Ribeiro, Matheus Henrique Dal Molin, Gonzalez, Gabriel Villarrubia, de Lima, José Donizetti

Publikováno v: In Heliyon 15 December 2024 10(23)

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Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

Autor: Ribeiro, Matheus Henrique Dal Molin, da Silva, Ramon Gomes, Mariani, Viviana Cocco, Coelho, Leandro dos Santos

Publikováno v: Chaos, Solitons & Fractals. 135 (2020) 109853

The new Coronavirus (COVID-19) is an emerging disease responsible for infecting millions of people since the first notification until nowadays. Developing efficient short-term forecasting models allow knowing the number of future cases. In this conte

Externí odkaz: http://arxiv.org/abs/2007.12261

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Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

Autor: da Silva, Ramon Gomes, Ribeiro, Matheus Henrique Dal Molin, Mariani, Viviana Cocco, Coelho, Leandro dos Santos

Publikováno v: Chaos, Solitons & Fractals. 139 (2020) 110027

The novel coronavirus disease (COVID-19) is a public health problem once according to the World Health Organization up to June 10th, 2020, more than 7.1 million people were infected, and more than 400 thousand have died worldwide. In the current scen

Externí odkaz: http://arxiv.org/abs/2007.10981

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Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model

Autor: da Silva, Ramon Gomes, Ribeiro, Matheus Henrique Dal Molin, Mariani, Viviana Cocco, Coelho, Leandro dos Santos

Accurate forecasting is important for decision-makers. Recently, the Amazon rainforest is reaching record levels of the number of fires, a situation that concerns both climate and public health problems. Obtaining the desired forecasting accuracy bec

Externí odkaz: http://arxiv.org/abs/2007.07979

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