Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Gabriel Paes Herrera"'
Autor:
Gabriel Paes Herrera, Michel Constantino, Benjamin Miranda Tabak, Hemerson Pistori, Jen-Je Su, Athula Naranpanawa
Publikováno v:
Data in Brief, Vol 25, Iss , Pp - (2019)
This article contains the data related to the research article “Long-term forecast of energy commodities price using machine learning” (Herrera et al., 2019). The datasets contain monthly prices of six main energy commodities covering a large per
Externí odkaz:
https://doaj.org/article/160ac130681b4db7b18482a563fca517
Publikováno v:
Revista do Direito Público, Vol 13, Iss 3 (2018)
Neste trabalho, assumindo os benefícios sociais relativos à defesa da concorrência, serão inicialmente expostos os problemas causados pela conduta de acordos ilegais entre “concorrentes” de mercado (cartéis). Em consequência dessa conduta s
Externí odkaz:
https://doaj.org/article/9ef50a25b6684b019698f8b816bc7b68
Publikováno v:
Tourism Analysis. 28:107-124
Tourism is an important socioeconomic sector for many countries worldwide. The perishable nature of this industry requires highly accurate forecasts to support decision-makers with their strategies and planning. This study explores the relationship b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::313cb950b1b56747621f10ed4efbce78
https://doi.org/10.3727/108354222x16578978994073
https://doi.org/10.3727/108354222x16578978994073
Autor:
Rildo Vieira Araújo, Robert Armando Espejo, Michel Angelo Constantino de Oliveira, Paula Martin Moraes, Romildo Camargo Martins, Ana Cristina Almeida Ribeiro, Gabriel Paes Herrera, Francisco Sousa Lira, Micaella Lima Nogueira, Sheyla Thays Vieira Barcelos, Urbano Gomes Pinto Abreu, José Carlos Taveira, Reginaldo Brito da Costa
Publikováno v:
Revista Brasileira de Administração Científica. 12:348-361
The present study aimed to evaluate socioeconomic efficiency in 41 Brazilian municipalities in the years 2014 and 2016 in the area comprised by the Araguaia River Valley, in the Central-West, Goiás state, Brazil. We used the data envelopment analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ec844acc86248b5e4d831d33df7e782
https://doi.org/10.6008/cbpc2179-684x.2021.004.0024
https://doi.org/10.6008/cbpc2179-684x.2021.004.0024
Autor:
Gabriel Paes Herrera, Benjamin Miranda Tabak, Rildo Vieira de Araújo, Reginaldo Brito da Costa, Michel Angelo Constantino de Oliveira
Publikováno v:
Nature and Conservation. 14:103-117
Smallholder farming is currently the most common farming structure worldwide, and it is essential for social, environmental, and economic development, especially in developing nations. This research sheds light on millions of family farmers in Brazil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b75163964ec880ed78031b830c04a517
https://doi.org/10.6008/cbpc2318-2881.2021.003.0009
https://doi.org/10.6008/cbpc2318-2881.2021.003.0009
Publikováno v:
Energy Economics. 114:106285
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b07ccd10a51fefafc7c2db539952eaba
https://doi.org/10.1016/j.eneco.2022.106285
https://doi.org/10.1016/j.eneco.2022.106285
METHODOLOGY FOR ASSESSING ENVIRONMENTAL EFFICIENCY IN MUNICIPALITIES USING DATA ENVELOPMENT ANALYSIS
Autor:
Robert Armando Espejo, Micaella Lima Nogueira, Michel Constantino, Rildo Vieira de Araújo, Ana Cristina de Almeida Ribeiro, Gabriel Paes Herrera, Karoline Borges, Paula Martin de Moraes, Reginaldo Brito da Costa, Romildo Camargo Martins, Sheyla Thays Vieira Barcelos, Francisco Sousa Lira
Publikováno v:
Agenda da sustentabilidade no Brasil: Conhecimentos teóricos, metodológicos e empíricos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::154d616ff30fa92b171e623c595f6c26
https://doi.org/10.22533/at.ed.25921230816
https://doi.org/10.22533/at.ed.25921230816
Autor:
Benjamin Miranda Tabak, Jen-Je Su, Hemerson Pistori, Michel Constantino, Gabriel Paes Herrera, Athula Naranpanawa
Publikováno v:
Energy. 179:214-221
We compare the long-horizon forecast performance of traditional econometric models with machine learning methods (Neural Networks and Random Forests) for the main energy commodities in the world using monthly prices provided by the International Mone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d929b7e448298dee7c6cbf76c0a073de
https://doi.org/10.1016/j.energy.2019.04.077
https://doi.org/10.1016/j.energy.2019.04.077
Autor:
Gabriela Oshiro Reynaldo, Rildo Vieira de Araújo, Paula Martin de Moraes, Leandro Skowronski, Michel Constantino, Gabriel Paes Herrera, Reginaldo Brito da Costa
Publikováno v:
African Journal of Agricultural Research. 14:1081-1090
Populations around the world, especially in developed countries, have adopted a more conscious food consumption than that practiced conventionally, in their search for a better quality of life. In this scenario of concern about food, the organic prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6639d9df737a0a68d719d0e83f7082f3
https://doi.org/10.5897/ajar2018.13618
https://doi.org/10.5897/ajar2018.13618
Autor:
Gabriel Paes Herrera, Romildo Camargo Martins, Robert Armando Espejo, Reginaldo Brito da Costa, Rildo Vieira de Araújo, Ana Cristina de Almeida Ribeiro, Rafael Mamoru dos Santos Yui, Paula Martin de Moraes, Francisco Sousa Lira, Michel Constantino
Publikováno v:
Conservação e Meio Ambiente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0751e4b153cb2c189651ebf078453993
https://doi.org/10.22533/at.ed.56721270110
https://doi.org/10.22533/at.ed.56721270110