• Delving into Android Malware Families with a Novel Neural Projection Method 

  Vega-Vega, Rafael A.; Quintián, Héctor; Cambra, Carlos; Basurto, Nuño; Herrero, Alvaro; Calvo-Rolle, José Luis (Willey-Hindawi, 2019)

  [Abstract] Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for ...

• 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, Benjamin; 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 ...

• Neuro-Knowledge Model Based on a PID Controller to Automatic Steering of Ships 

  Calvo-Rolle, José Luis; Quintián, Héctor (InTech, 2012)

• 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, 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 ...

• Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries 

  Casteleiro-Roca, José-Luis; Calvo-Rolle, José Luis; Méndez Pérez, Juan Albino; Roqueñí, Nieves; Cos Juez, Francisco Javier de (Multidisciplinary Digital Publishing Institute, 2017)

  This paper presents a new fault detection system in hypnotic sensors used for general anesthesia during surgery. Drug infusion during surgery is based on information received from patient monitoring devices; accordingly, ...

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