Listar por autor "Alvarellos, Alberto"

Mostrando ítems 1-16 de 16

    • Application for Decision-Making on Mild Cognitive Impairments 

      González-Martín, Erick; Alvarellos, Alberto; Mato-Abad, Virginia; Pías-Peleteiro, Juan M.; Jiménez Martín, Isabel; Cedrón, Francisco (MDPI, 2021)
      [Abstract] Life expectancy in Western countries is increasing. The fact that humans are living longer lives presents new challenges to people’s quality of life. Some of the problems that most affect older people are the ...

    • Application of an Analytic Methodology to Estimate the Movements of Moored Vessels Based on Forecast Data 

      Sande, José; Figuero, A.; Tarrío-Saavedra, Javier; Peña González, Enrique; Alvarellos, Alberto; Rabuñal, Juan R. (MDPI, 2019-09)
      [Abstract]: A port’s operating capacity and the economic performance of its concessions are intimately related to the quality of its operational conditions. This paper presents an analytical methodology for estimating the ...

    • Application of scanning techniques for damage analysis in rubble mound breakwaters 

      Sande, José; Peña González, Enrique; Neves, Maria da Graça; Lemos, Rute; Figuero, A.; Reis, María Teresa; Alvarellos, Alberto; Rabuñal, Juan R. (2018)

    • Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks 

      Alvarellos, Alberto; Pazos, A.; Porto-Pazos, Ana B. (Hindawi, 2012)
      [Abstract] The importance of astrocytes, one part of the glial system, for information processing in the brain has recently been demonstrated. Regarding information processing in multilayer connectionist systems, it has ...

    • Deep Learning-Based Wave Overtopping Prediction 

      Alvarellos, Alberto; Figuero, A.; Rodríguez-Yáñez, Santiago; Sande, José; Peña González, Enrique; Rosa-Santos, Paulo; Rabuñal, Juan R. (MDPI, 2024-03-20)
      [Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ...

    • Developing a Secure Low-Cost Radon Monitoring System 

      Alvarellos, Alberto; Gestal, M.; Dorado, Julián; Rabuñal, Juan R. (MDPI AG, 2020-01-29)
      [Abstract] Radon gas has been declared a human carcinogen by the United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC). Several studies carried out in Spain ...

    • Developing an Open-Source, Low-Cost, Radon Monitoring System 

      Alvarellos, Alberto; Rabuñal, Juan R. (MDPI AG, 2020-08-24)
      [Abstract] The United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC) have declared Radon gas a human carcinogen. Spain has several regions with high radon ...

    • Development of an Automatic Low-Cost Air Quality Control System: A Radon Application 

      Alvarellos, Alberto; López Chao, Andrea; Rabuñal, Juan R.; García-Vidaurrázaga, María D.; Pazos, A. (MDPI, 2021-03-01)
      [Abstract] Air pollution is the fourth-largest overall risk factor for human health worldwide. Ambient air pollution (outdoors) and household air pollution (indoors) cause about 6.5 million premature deaths. The World ...

    • Exploring the Feasibility of Low Cost Technology in Rainfall Monitoring: The TREBOADA Observing System 

      Fraga, Ignacio; Alvarellos, Alberto; González-Coma, José P. (M D P I AG, 2019-07-22)
      [Abstract] In order to characterize the spatial and temporal variability of the rainfall, we have developed an observation system to monitor the precipitation over the metropolitan area of A Coruña. The observation system ...

    • Indicators Framework for Sustainable Urban Design 

      López Chao, Andrea; Casares Gallego, Amparo; López-Chao, Vicente; Alvarellos, Alberto (2020)
      [Abstract] Climate change and sustainability have recently been object of study due to the impact on the planet and on human activity of the first and the benefits that could derive from the efficiency of the second. ...

    • IoT and Machine Learning based platform for port risk management : application to ship movements and wave overtopping 

      Alvarellos, Alberto (2022)
      [Abstract] Spain is the European Union country with the longest coastline (8000 km) and the closest to the axis of one of the world's major maritime routes. Its geographical location positions Spain as a strategic element ...

    • Machine Learning Based Moored Ship Movement Prediction 

      Alvarellos, Alberto; Figuero, A.; Carro Fidalgo, Humberto; Costas Gómez, Raquel; Sande, José; Guerra, Andrés; Peña González, Enrique; Rabuñal, Juan R. (MDPI, 2021)
      [Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) ...

    • Machine Learning-Based Radon Monitoring System 

      Valcarce, Diego; Alvarellos, Alberto; Rabuñal, Juan R.; Dorado, Julián; Gestal, M. (MDPI, 2022)
      [Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ...

    • Modeling of energy efficiency for residential buildings using artificial neuronal networks 

      Álvarez Díaz, José Antonio; Rabuñal, Juan R.; García-Vidaurrázaga, María D.; Alvarellos, Alberto; Pazos, A. (Hindawi, 2018-11-28)
      [Abstract] Increasing the energy efficiency of buildings is a strategic objective in the European Union, and it is the main reason why numerous studies have been carried out to evaluate and reduce energy consumption in the ...

    • Operational thresholds of moored ships at the oil terminal of inner port of A Coruña (Spain) 

      Figuero, A.; Sande, José; Peña González, Enrique; Alvarellos, Alberto; Rabuñal, Juan R.; Maciñeira, Enrique (Elsevier, 2019-12-21)
      [Abstract] Minimizing the stay of a vessel in port can lead to improvements in harbor efficiency. Currently, downtimes of cargo operations or their performance reduction because of excessive vessel motion are especially ...

    • Raspberry Pimu: Raspberry Pi based inertial sensor data processing system 

      Alvarellos, Alberto; Vázquez, Adrián; Rabuñal, Juan R. (MDPI, 2018-09-18)