Publicaciones en las que colabora con Jaime Lloret Mauri (16)

2019

  1. Shallow neural network with kernel approximation for prediction problems in highly demanding data networks

    Expert Systems with Applications, Vol. 124, pp. 196-208

2018

  1. Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets

    IEEE Communications Magazine, Vol. 56, Núm. 9, pp. 110-117

  2. Improving IoT Communications Based on Smart Routing Algorithms

    2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

  3. Intelligent IoT traffic classification using novel search strategy for fast-based-correlation feature selection in industrial environments

    IEEE Internet of Things Journal, Vol. 5, Núm. 3, pp. 1616-1624

2017

  1. Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot

    Sensors (Switzerland), Vol. 17, Núm. 9

  2. Network Traffic Classifier with Convolutional and Recurrent Neural Networks for Internet of Things

    IEEE Access, Vol. 5, pp. 18042-18050

2014

  1. A survey on electric power demand forecasting: Future trends in smart grids, microgrids and smart buildings

    IEEE Communications Surveys and Tutorials, Vol. 16, Núm. 3, pp. 1460-1495

  2. Artificial neural network for short-term load forecasting in distribution systems

    Energies, Vol. 7, Núm. 3, pp. 1576-1598

  3. Artificial neural networks for short-term load forecasting in microgrids environment

    Energy, Vol. 75, pp. 252-264

  4. Editorial

    International Journal of Ad Hoc and Ubiquitous Computing, Vol. 15, Núm. 1-3, pp. 1-5

  5. IEEE 802.11a/b/g/n short-scale indoor wireless sensor placement

    International Journal of Ad Hoc and Ubiquitous Computing, Vol. 15, Núm. 1-3, pp. 68-82

2013

  1. A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants

    IEEE Communications Magazine, Vol. 51, Núm. 1, pp. 106-113

  2. Experimental analysis of the input variables' relevance to forecast next day's aggregated electric demand using neural networks

    Energies, Vol. 6, Núm. 6, pp. 2927-2948

  3. Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment

    Energies, Vol. 6, Núm. 9, pp. 4489-4507

  4. Short-term load forecasting for microgrids based on artificial neural networks

    Energies, Vol. 6, Núm. 3, pp. 1385-1408

  5. Underwater wireless communications in freshwater at 2.4 GHz

    IEEE Communications Letters, Vol. 17, Núm. 9, pp. 1794-1797