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Breno Herrera da Silva Coelho,Carlos Frederico Loureiro,Marta Azevedo Irving,David Gomes Soares
A implantação do Complexo Petroquímico do Rio Janeiro ? Comperj, na cidade de Itaboraí-RJ, tende a gerar impactos socioambientais sobre as unidades de conservação circundantes, reunidas no âmbito do Mosaico da Mata Atlântica Central Fluminense (MCF). Dur...
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Joana Carneiro, Dália Loureiro, Marta Cabral and Dídia Covas
This paper presents and demonstrates a novel scenario-building methodology that integrates contextual and future time uncertainty into the performance assessment of water distribution networks (WDNs). A three-step approach is proposed: (i) System context...
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Gustavo Lopes Muniz, Agda Loureiro Gonçalves Oliveira, Maria Geralda Benedito, Nicolás Duarte Cano, Antonio Pires de Camargo and Ariovaldo José da Silva
In this study, we analyzed the hydrogeochemistry of 350 underground wells in the northern region of the state of Minas Gerais, Brazil, for water-chemical parameters that may contribute to the chemical clogging of emitters in drip irrigation systems. Risk...
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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Gustavo O. R. Cruz, Rodrigo M. Peixoto, Guilherme A. de Sousa Guimarães, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. Sperandio Nascimento
The majority of current approaches for bias and fairness identification or mitigation in machine learning models are applications for a particular issue that fails to account for the connection between the application context and its associated sensitive...
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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Rodrigo M. Peixoto, Guilherme A. S. Guimarães, Gustavo O. R. Cruz, Maira M. Araujo, Lucas L. Santos, Marco A. S. Cruz, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. S. Nascimento
One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness and bias. This study examines ...
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Caroline Moura, Lucas Nascimento, Carlos Loureiro, Mafalda Rodrigues, Joel Oliveira and Hugo Silva
Steel slag is a byproduct generated as waste during the steelmaking process and can be considered a cost-effective and environmentally acceptable alternative to replace natural aggregates. Using steel slag aggregates (SSA) to produce asphalt mixtures pro...
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Jéssica S. Almeida, Emanuel V. Capela, Ana M. Loureiro, Ana P. M. Tavares and Mara G. Freire
Currently, the use of alternative solvents is increasing, namely ionic liquids (ILs) and deep eutectic solvents (DESs) in diverse fields of knowledge, such as biochemistry, chemistry, chemical engineering, biotechnology and biomedicine. Particularly, whe...
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Tomas Lopez-Olocco, Leo M. González-Gutiérrez, Javier Calderon-Sanchez, Adolfo Marón Loureiro, Leandro Saavedra Ynocente, Ana Bezunartea Barrio and Nicolás Vivar Valdés
Recently, several experimental and numerical studies have underlined the advantages of adding clumped weights at discrete positions of mooring lines. To confirm the influence of these weights, an experimental study was performed for a 1:30 scale model of...
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Tiago Florindo, Ana I. Ferraz, Ana C. Rodrigues and Leonel J. R. Nunes
Waste management is a current and transversal problem in all production areas, including agriculture. Within this economic activity, wine production generates a large amount of waste, namely, that resulting from the winemaking activity itself, such as po...
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Fabio Maria Aprà, Sander Smit, Raymond Sterling and Tatiana Loureiro
For years, concentrated solar power (CSP) has been considered an emerging technology that could disrupt the energy production sector. The possibility to store the electricity generated during the sunny operating hours in the form of heat enhances energy ...
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