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Eduardo Dias Leite, Xavier Molina Morales, Edgar Reyes Júnior, Luis Martínez Cháfer
Pág. 6 - 24
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Dayana Carolina Chalá, Edgar Quiñones-Bolaños and Mehrab Mehrvar
Land subsidence is a global challenge that enhances the vulnerability of aquifers where climate change and driving forces are occurring simultaneously. To comprehensively analyze this issue, integrated modeling tools are essential. This study advances th...
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Rafael Sierra Requena, José Carlos Martínez-Llario, Edgar Lorenzo-Sáez and Eloína Coll-Aliaga
The spatial and semantic data of geographic addresses are extremely important for citizens, governments, and companies. The addresses can georeference environmental, economic, security, health, and demographic parameters in urban areas. Additionally, add...
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Victor Luna, Rodolfo Silva, Edgar Mendoza and Iza Canales-García
This work describes the characteristics of a device capable of detecting the magnetic field generated by a submerged electrical conductor. This low-cost apparatus is based on the open-source Arduino platform and offers the possibility of monitoring magne...
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Carmelo Maximiliano-Cordova, Rodolfo Silva, Edgar Mendoza, Valeria Chávez, M. Luisa Martínez and Rusty A. Feagin
Coastal dune restoration projects are increasingly seen as a means of protecting the coast against storms, especially with the use of natural (plants), artificial (geotextile tube cores) and hybrid (plants and geotextile tube) elements. As geotextile tub...
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Edgar Acuna, Roxana Aparicio and Velcy Palomino
In this paper we investigate the effect of two preprocessing techniques, data imputation and smoothing, in the prediction of blood glucose level in type 1 diabetes patients, using a novel deep learning model called Transformer. We train three models: XGB...
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Mario Guevara Bonilla, Edgar Ortiz Malavasi, Verónica Villalobos Barquero, Javier Hernández Cole
Pág. 123 - 133
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Andrés Cardenas, Maria I. Dias, Catarina Diamantino, Edgar Carvalho, Dulce Russo and Rosa Marques
New insights about the geochemical behavior of actinides and lanthanides in an old uranium mine are provided for the first time in this work. Fifteen samples (water, soil, and sediments) were collected inside and outside the Quinta do Bispo old mine (Por...
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Ulises Manuel Ramirez-Alcocer, Edgar Tello-Leal, Gerardo Romero and Bárbara A. Macías-Hernández
In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources sinc...
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Jesus Rosales, Addison Miller, Edgar Nunez, Andreas Gross and Nancy Chanover
The conceptual design of a hybrid aerial vehicle for the exploration of the upper Venus atmosphere is presented. The vehicle will float like a balloon and harvest solar energy which is stored in batteries. The neutral buoyancy reduces the energy consumpt...
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