Universidad de Oviedo-ko ikertzaileekin lankidetzan egindako argitalpenak (52)

2024

  1. Deep Echo State Networks for Modelling of Industrial Systems

    Communications in Computer and Information Science

2023

  1. Adaptive Model for Industrial Systems Using Echo State Networks

    Communications in Computer and Information Science

  2. Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation

    IFIP Advances in Information and Communication Technology

  3. Echo State Networks for anomaly detection in industrial systems

    IFAC-PapersOnLine

  4. Principal Component Modes of Reservoir Dynamics in Reservoir Computing

    IFIP Advances in Information and Communication Technology

2022

  1. Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders

    Computers and Electrical Engineering, Vol. 101

2021

  1. Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings

    IEEE Transactions on Smart Grid, Vol. 12, Núm. 3, pp. 2722-2731

2020

  1. Estimating cooling production and monitoring efficiency in chillers using a soft sensor

    Neural Computing and Applications, Vol. 32, Núm. 23, pp. 17291-17308

2019

  1. A deep learning approach for fusing sensor data from screw compressors

    Sensors (Switzerland), Vol. 19, Núm. 13

  2. Desarrollo de laboratorio remoto de investigación mediante la utilización de tecnologías industriales multiconectadas

    XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019

  3. Virtual sensor based on a deep learning approach for estimating efficiency in chillers

    Communications in Computer and Information Science

2018

  1. A Real-Time Algorithm to Detect Falls in the Elderly

    MeMeA 2018 - 2018 IEEE International Symposium on Medical Measurements and Applications, Proceedings

  2. Automatic measurement of fish size using stereo vision

    I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings

  3. Interactive data visualization of chatter conditions in a cold rolling mill

    Computers in Industry, Vol. 103, pp. 86-96

  4. Interactive dimensionality reduction of large datasets using interpolation

    ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  5. Interactive visualization for NILM in large buildings using non-negative matrix factorization

    Energy and Buildings, Vol. 176, pp. 95-108

2017

  1. Analysis of parallel process in hvac systems using deep autoencoders

    Communications in Computer and Information Science

  2. Energy analytics in public buildings using interactive histograms

    Energy and Buildings, Vol. 134, pp. 94-104

  3. Evaluating interactive visualization of multidimensional data projection with feature transformation

    Multimodal Technologies and Interaction, Vol. 1, Núm. 3

  4. Latent variable analysis in hospital electric power demand using non-negative matrix factorization

    ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning