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Mostrando ítems 1-10 de 13
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling
(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 la predicción de tensión de una pila de combustible basada en hidrógeno
(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 ...
Delving into Android Malware Families with a Novel Neural Projection Method
(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 ...
A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques
(MDPI, 2019-06-18)
[Abstract ]:This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy ...
Comparative study of imputation algorithms applied to the prediction of student performance
(Oxford University Press, 2019-12-27)
[Abstract]: Student performance and its evaluation remain a serious challenge for education systems. Frequently, the recording and processing of students’ scores in a specific curriculum have several f laws for various ...
Fuel cell hybrid model for predicting hydrogen inflow through energy demand
(MDPI, 2019-11-10)
[Abstract]: Hydrogen-based energy storage and generation is an increasingly used technology, especially in renewable systems because they are non-polluting devices. Fuel cells are complex nonlinear systems, so a good model ...
Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system
(MDPI, 2019-11-07)
[Abstract]: The present research work deals with prediction of hydrogen consumption of a fuel cell in an energy storage system. Due to the fact that these kind of systems have a very nonlinear behaviour, the use of traditional ...
Electromyogram prediction during anesthesia by using a hybrid intelligent model
(Springer Nature, 2019-08-23)
[Abstract] In the search for new and more efficient ways to administer drugs, clinicians are turning to engineering tools. The availability of these models to predict physiological variables are a significant factor. A ...
Gaining deep knowledge of Android malware families through dimensionality reduction techniques
(Oxford University Press, 2019-04)
[Abstract] This research proposes the analysis and subsequent characterisation of Android malware families by means of low dimensional visualisations using dimensional reduction techniques. The well-known Malgenome data ...
Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring
(Vilnius University, 2019)
[Abstract] The present research shows the implementation of a virtual sensor for fault detection with the feature of recovering data. The proposal was implemented over a bicomponent mixing machine used for the wind generator ...