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<title>Informes</title>
<link href="https://hdl.handle.net/20.500.12412/2542" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/20.500.12412/2542</id>
<updated>2026-05-06T02:39:33Z</updated>
<dc:date>2026-05-06T02:39:33Z</dc:date>
<entry>
<title>Technical Report: Soil moisture dynamics identification in a ecological plot of zucchini, beets and lettuce</title>
<link href="https://hdl.handle.net/20.500.12412/4365" rel="alternate"/>
<author>
<name>Pacheco, Erid</name>
</author>
<author>
<name>Cáceres Rodríguez, Gabriela Belén</name>
</author>
<author>
<name>Orihuela Espina, Diego Luis</name>
</author>
<id>https://hdl.handle.net/20.500.12412/4365</id>
<updated>2024-10-14T09:23:10Z</updated>
<published>2023-10-11T00:00:00Z</published>
<summary type="text">Technical Report: Soil moisture dynamics identification in a ecological plot of zucchini, beets and lettuce
Pacheco, Erid; Cáceres Rodríguez, Gabriela Belén; Orihuela Espina, Diego Luis
The main purpose of this report is to present detailed information regarding the identification of linear and non-linear models for the moisture dynamics in agricultural soil. These models have been identified for their later use for model-based controllers, such as Model Predictive Control.
</summary>
<dc:date>2023-10-11T00:00:00Z</dc:date>
</entry>
<entry>
<title>Modelling and Identification of an Autonomous Surface Vehicle: Technical Report</title>
<link href="https://hdl.handle.net/20.500.12412/3270" rel="alternate"/>
<author>
<name>Morel, Thalia A.</name>
</author>
<author>
<name>Manzano Crespo, José María</name>
</author>
<author>
<name>Bejarano Pellicer, Guillermo</name>
</author>
<author>
<name>Orihuela Espina, Diego Luis</name>
</author>
<id>https://hdl.handle.net/20.500.12412/3270</id>
<updated>2024-10-22T07:10:48Z</updated>
<published>2022-02-16T00:00:00Z</published>
<summary type="text">Modelling and Identification of an Autonomous Surface Vehicle: Technical Report
Morel, Thalia A.; Manzano Crespo, José María; Bejarano Pellicer, Guillermo; Orihuela Espina, Diego Luis
The purpose of this document is to provide technical information about the identification and modelling of the Yellowfish autonomous surface vehicle (ASV), developed in Universidad Loyola Andalucía within the line of research entitled ASV4Sustainability of the Optimization and Control of Distributed Systems research group.
</summary>
<dc:date>2022-02-16T00:00:00Z</dc:date>
</entry>
<entry>
<title>COVID-19 Impact Estimation on ICU Capacity at Andalusia, Spain, Using Artificial Intelligence : Version 2</title>
<link href="https://hdl.handle.net/20.500.12412/2211" rel="alternate"/>
<author>
<name>Prieto Rodríguez, Francisco A.</name>
</author>
<author>
<name>Baltas, Gregory</name>
</author>
<author>
<name>Ríos Pena, Laura</name>
</author>
<author>
<name>García Alonso, Carlos</name>
</author>
<author>
<name>Rodríguez Cortés, Pedro</name>
</author>
<id>https://hdl.handle.net/20.500.12412/2211</id>
<updated>2024-07-12T13:19:25Z</updated>
<published>2020-04-01T00:00:00Z</published>
<summary type="text">COVID-19 Impact Estimation on ICU Capacity at Andalusia, Spain, Using Artificial Intelligence : Version 2
Prieto Rodríguez, Francisco A.; Baltas, Gregory; Ríos Pena, Laura; García Alonso, Carlos; Rodríguez Cortés, Pedro
In early 2020, the world began to watch with caution the spread of an outbreak of pneumonia associated with a new coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which originated in late December 2019 in Wuhan City, Hubei Province, China. The rapid spread of this outbreak meant that in just one month more than 33 countries were infected with more than 85,200 cases.
</summary>
<dc:date>2020-04-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>COVID-19 Impact Estimation on ICU Capacity at Andalusia, Spain, Using Artificial Intelligence : Version 1</title>
<link href="https://hdl.handle.net/20.500.12412/2210" rel="alternate"/>
<author>
<name>Prieto Rodríguez, Francisco A.</name>
</author>
<author>
<name>Baltas, Gregory</name>
</author>
<author>
<name>Ríos Pena, Laura</name>
</author>
<author>
<name>Rodríguez Cortés, Pedro</name>
</author>
<id>https://hdl.handle.net/20.500.12412/2210</id>
<updated>2024-07-12T13:43:01Z</updated>
<published>2020-04-01T00:00:00Z</published>
<summary type="text">COVID-19 Impact Estimation on ICU Capacity at Andalusia, Spain, Using Artificial Intelligence : Version 1
Prieto Rodríguez, Francisco A.; Baltas, Gregory; Ríos Pena, Laura; Rodríguez Cortés, Pedro
In early 2020, the world began to watch with caution the spread of an outbreak of pneumonia associated with a new coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which originated in late December 2019 in Wuhan City, Hubei Province, China. The rapid spread of this outbreak meant that in just one month more than 33 countries were infected with more than 85,200 cases.
</summary>
<dc:date>2020-04-01T00:00:00Z</dc:date>
</entry>
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