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Marina Tenório, Rui Ferreira, Victor Belafonte, Filipe Sousa, Cláudio Meireis, Mafalda Fontes, Inês Vale, André Gomes, Rita Alves, Sandra M. Silva, Dinis Leitão, André Fontes, Carlos Maia, Aires Camões and Jorge M. Branco
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Dágila Melo Rodrigues, Paulo Carteri Coradi, Newiton da Silva Timm, Michele Fornari, Paulo Grellmann, Telmo Jorge Carneiro Amado, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio and José Luís Trevizan Chiomento
In recent years, agricultural remote sensing technology has made great progress. The availability of sensors capable of detecting electromagnetic energy and/or heat emitted by targets improves the pre-harvest process and therefore becomes an indispensabl...
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Rogério Luiz Cardoso Silva Filho, Kellyton Brito and Paulo Jorge Leitão Adeodato
This study presents an approach to investigating the main interventions related to gains on performance using a combination of educational data mining (EDM) techniques and traditional theory-driven models. The goal is to overcome the limitation of previo...
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Juarez Machado da Silva, Gabriel de Oliveira Ramos and Jorge Luis Victória Barbosa
The Shortest Path (SP) problem resembles a variety of real-world situations where one needs to find paths between origins and destinations. A generalization of the SP is the Dynamic Shortest Path (DSP) problem, which also models changes in the graph at a...
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Jorge Oliveira e Sá, Francisco Rebelo, Diogo Silva, Gabriel Teles, Diogo Ramos and José Romeu
Today, everything is connected, including the exchange of data and the generation of new information. As a result, large amounts of data are being collected at an ever-increasing rate and in a variety of forms, a phenomenon now known as Big Data. Recent ...
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Saulo Folharini, António Vieira, António Bento-Gonçalves, Sara Silva, Tiago Marques and Jorge Novais
Protected areas (PA) play an important role in minimizing the effects of soil erosion in watersheds. This study evaluated the performance of machine learning models, specifically support vector machine with linear kernel (SVMLinear), support vector machi...
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Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, Alexandre Serra, Leonardo Moura, Ana Margarida Ricardo, Luís Mendes and Rui M. L. Ferreira
Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data curat...
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Francisco J. P. Rebelo, Joel R. M. Oliveira, Hugo M. R. D. Silva, Jorge Oliveira e Sá, Vânia Marecos and João Afonso
The evolution of technological tools, namely affordable sensors for data collection, and the growing concerns about maintaining roads in adequate conditions have promoted the development of continuous pavement monitoring systems. This paper presents the ...
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Alberto Cruz da Silva Junior, Paulo Jorge de Oliveira Ponte de Souza, Denis de Pinho Sousa, Lucieta Guerreiro Martorano, Carina Melo da Silva, Carolina Melo da Silva, Hildo Giuseppe Garcia Caldas Nunes, Marcus José Alves de Lima, Adriano Marlisom Leão de Sousa, João Vitor de Nóvoa Pinto, Maria de Lourdes Pinheiro Ruivo, José Darlon Nascimento Alves and Heráclito Eugênio Oliveira da Conceição
Energy and water dynamics are crucial for citrus development in the Eastern Amazon. This study aimed to determine the energy balance, water demand, and crop coefficient of acid lime in the northeast region of Pará. A micrometeorological tower was install...
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Cláudia Ferreira, Ana Silva and Jorge de Brito
The buildings? surroundings? environmental exposure conditions (e.g., orientation, location, altitude, distance from the sea, temperature, precipitation, presence of damp, exposure to prevailing winds, among others) have a considerable influence on the p...
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