Now showing items 59-78 of 83

    • Impact of Individual Headache Types on the Work and Work Efficiency of Headache Sufferers 

      Simić, Svetlana; Rabi-Žikić, Tamara; Villar, José R.; Calvo-Rolle, José Luis; Simić, Dragan; Simić, Svetislav D. (MDPI, 2020-09)
      [Abstract] Background: Headaches have not only medical but also great socioeconomic significance, therefore, it is necessary to evaluate the overall impact of headaches on a patient’s life, including their work and work ...
    • Improving the calibration of building simulation with interpolated weather datasets 

      Eguía, Pablo; Alonso Rodríguez, Jose María; Saavedra, Ángeles; Arce Fariña, Elena; Granada, Enrique (Elsevier, 2018-02-06)
      [Abstract]: The building sector offers huge potential for energy savings, which helps to achieve environmental objectives and social benefits. A good approach to determine both the energy consumption of new buildings and ...
    • Intelligent model for active power prediction of a small wind turbine 

      Zayas-Gato, Francisco; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Pérez Castelo, Francisco Javier; Piñón-Pazos, A.; Arce Fariña, Elena; Calvo-Rolle, José Luis (Oxford University Press, 2023-08)
      [Abstract] In this study, a hybrid model based on intelligent techniques is developed to predict the active power generated in a bioclimatic house by a low power wind turbine. Contrary to other researches that predict the ...
    • Intelligent Model for Power Cells State of Charge Forecasting in EV 

      López, Víctor; Jove, Esteban; Zayas-Gato, Francisco; Pinto-Santos, Francisco; Piñón-Pazos, A.; Casteleiro-Roca, José-Luis; Quintián, Héctor; Calvo-Rolle, José Luis (MDPI, 2022-07-19)
      [Abstract] In electric vehicles and mobile electronic devices, batteries are one of the most critical components. They work by using electrochemical reactions that have been thoroughly investigated to identify their behavior ...
    • Intelligent one-class classifiers for the development of an intrusion detection system: the MQTT case study 

      Jove, Esteban; Aveleira Mata, Jose Antonio; Alaiz Moretón, Héctor; Casteleiro-Roca, José-Luis; Marcos del Blanco, David Yeregui; Zayas-Gato, Francisco; Quintián, Héctor; Calvo-Rolle, José Luis (MDPI, 2022-01-30)
      [Abstarct] The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the ...
    • Internet : el paradigma del pionero 

      Leira-Rejas, Alberto J. (Asociación de Técnicos de Informática (ATI), 1997-01)
    • Intrusion Detection With Unsupervised Techniques for Network Management Protocols Over Smart Grids 

      Vega-Vega, Rafael A.; Chamoso, Pablo; González Briones, Alfonso; Casteleiro-Roca, José-Luis; Jove, Esteban; Meizoso-López, María-Carmen; Rodríguez Gómez, Benigno Antonio; Quintián, Héctor; Herrero, Alvaro; Matsui, Kenji; Corchado, Emilio; Calvo-Rolle, José Luis (MDPI AG, 2020-03-27)
      [Abstract] The present research work focuses on overcoming cybersecurity problems in the Smart Grid. Smart Grids must have feasible data capture and communications infrastructure to be able to manage the huge amounts of ...
    • Missing data imputation of solar radiation data under different atmospheric conditions 

      Crespo Turrado, Concepción; Meizoso-López, María-Carmen; Sánchez Lasheras, Fernando; Rodríguez Gómez, Benigno Antonio; Calvo-Rolle, José Luis; Cos Juez, Francisco Javier de (MDPI, 2014-10-29)
      [Abstract] Global solar broadband irradiance on a planar surface is measured at weather stations by pyranometers. In the case of the present research, solar radiation values from nine meteorological stations of the ...
    • Multi-agent reinforcement learning based algorithm detection of malware-infected nodes in IoT networks 

      Severt-Silva, Marcos; Casado Vara, Roberto; Martin del Rey, Ángel; Quintián, Héctor; Calvo-Rolle, José Luis (Oxford University Press, 2024-05-18)
      [Abstract] The Internet of Things (IoT) is a fast-growing technology that connects everyday devices to the Internet, enabling wireless, low-consumption and low-cost communication and data exchange. IoT has revolutionized ...
    • Multi-criteria risk assessment: Case study of a large hydroelectric project 

      Ribas, J.R.; Arce Fariña, Elena; Sohler, Flavio Augusto Settimi; Suárez-García, Andrés (Elsevier, 2019-04-09)
      [Abstarct]: Run-of-river hydroelectric plants along Amazon River tributaries have been shown to be an ecologically viable alternative to meet Brazilian energy demand. These plants are a solution to add capacity. However, ...
    • Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics 

      Gonzalez-Gutierrez, Carlos; Sanchez, Maria Luisa; Calvo-Rolle, José Luis; De Cos Juez, Francisco Javier (Wiley-Hindawi, 2018)
      [Abstract] Aberrations introduced by the atmospheric turbulence in large telescopes are compensated using adaptive optics systems, where the use of deformable mirrors and multiple sensors relies on complex control systems. ...
    • Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems 

      Michelena, Álvaro; Zayas-Gato, Francisco; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; Fontenla-Romero, Óscar; Calvo-Rolle, José Luis (Oxford University Press, 2024)
      [Abstract] The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time ...
    • Optimizing wastewater treatment plants with advanced feature selection and sensor technologies 

      Timiraos, Míriam; Fernández Águila, Jesús; Arce Fariña, Elena; García Núñez, Moisés Alberto; Zayas-Gato, Francisco; Quintián, Héctor (Oxford University Press, 2024)
      [Abstract] This research establishes a foundational framework for the development of virtual sensors and provides significant preliminary results. Our study specifically focuses on identifying the key factors essential for ...
    • Radon Mitigation Approach in a Laboratory Measurement Room 

      Blanco Rodriguez, Patricia; Fernández-Serantes, Luis Alfonso; Otero Pazos, Alberto; Calvo-Rolle, José Luis; Cos Juez, Francisco Javier de (MDPI, 2017-05-11)
      [Abstract] Radon gas is the second leading cause of lung cancer, causing thousands of deaths annually. It can be a problem for people or animals in houses, workplaces, schools or any building. Therefore, its mitigation has ...
    • Research on the Improvement of Safety Navigation Based on the Shipmaster’s Control of Ship Navigational Parameters When Sailing in Different Sea State Conditions 

      Orosa, José A.; Pérez-Canosa, José M.; Pérez Castelo, Francisco Javier; Durán-Grados, Vanesa (MDPI, 2023)
      [Abstract] Shipmasters must make several quick decisions with respect to the ship’s speed and heading when new sea conditions approach. The implications for ship stability and risky situations are known but there are no ...
    • Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling 

      Casteleiro-Roca, José-Luis; Gómez-González, José-Francisco; Calvo-Rolle, José Luis; Jove, Esteban; Quintián, Héctor; González-Díaz, Benjamín; Méndez Pérez, Juan Albino (MDPI, 2019)
      [Abstract] The hotel industry is an important energy consumer that needs efficient energy management methods to guarantee its performance and sustainability. The new role of hotels as prosumers increases the difficulty ...
    • Sistema híbrido inteligente para el control y operación de un convertidor elevador en modo Soft-Switching 

      Fernández-Serantes, Luis Alfonso; Casteleiro-Roca, José-Luis; Calvo-Rolle, José Luis (Universitat Politècnica de València, 2022)
      [Resumen] En este trabajo de investigación se presenta una estrategia de control inteligente implementada en un convertidor elevador con topología de medio puente. El sistema se usa para asegurar que el convertidor funcione ...
    • Sistema híbrido inteligente para la predicción de tensión de una pila de combustible basada en hidrógeno 

      Casteleiro-Roca, José-Luis; Barragán, Antonio Javier; Segura Manzano, Francisca; Calvo-Rolle, José Luis; Andújar-Márquez, José Manuel (Comité Español de Automática, CEA, 2019)
      [Resumen]: Por razones de sostenibilidad y estrategia energética, entre otras, existe en la actualidad una tendencia clara hacia el uso de nuevas formas de obtención, almacenamiento y gestión de energía, más eficientes y ...
    • Solar thermal collector output temperature prediction by hybrid intelligent model for smartgrid and smartbuildings applications and optimization 

      Casteleiro-Roca, José-Luis; Chamoso, Pablo; Jove, Esteban; González Briones, Alfonso; Quintián, Héctor; Fernández-Ibáñez, Isabel; Vega-Vega, Rafael A.; Piñon-Pazos, A.; López-Vázquez, José-Antonio; Torres, Santiago; Pinto, Tiago; Calvo-Rolle, José Luis (MDPI, 2020-07-05)
      [Abstract] Currently, there is great interest in reducing the consumption of fossil fuels (and other non-renewable energy sources) in order to preserve the environment; smart buildings are commonly proposed for this purpose ...
    • Special issue Applications of Artificial Intelligence Systems [Editorial] 

      Baruque Zanón, Bruno; Calvo-Rolle, José Luis; Porras Alfonso, Santiago; Dolezel, Petr (MDPI, 2022-04-12)