Publicaciones en las que colabora con MARIO NIETO HIDALGO (20)

2019

  1. Smart management consumption in renewable energy fed ecosystems†

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

2018

  1. Gait Analysis Using Computer Vision Based on Cloud Platform and Mobile Device

    Mobile Information Systems, Vol. 2018

  2. Precision agriculture design method using a distributed computing architecture on internet of things context

    Sensors (Switzerland), Vol. 18, Núm. 6

2017

  1. A distributed bug analyzer based on user-interaction features for mobile apps

    Journal of Ambient Intelligence and Humanized Computing, Vol. 8, Núm. 4, pp. 579-591

  2. Classification of pathologies using a vision based feature extraction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Electromagnetic differential measuring method: Application in microstrip sensors developing

    Sensors (Switzerland), Vol. 17, Núm. 7

  4. Interpreting human activity from electrical consumption data using reconfigurable hardware and hidden Markov models

    Journal of Ambient Intelligence and Humanized Computing, Vol. 8, Núm. 4, pp. 469-483

  5. User-centered design of agriculture automation systems using internet of things paradigm

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016

  1. A vision based proposal for classification of normal and abnormal gait using RGB camera

    Journal of Biomedical Informatics, Vol. 63, pp. 82-89

  2. Developing ubiquitous sensor network platform using internet of things: Application in precision agriculture

    Sensors (Switzerland), Vol. 16, Núm. 7

  3. Electromagnetic multi-frequency model and differential measuring in remote sensing applications

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Real time gait analysis using RGB camera

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Vision based gait analysis for frontal view gait sequences using RGB camera

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2015

  1. A Top-Down Design Approach for an Automated Testing Framework

    Ubiquitous Computing and Ambient Intelligence: Sensing, Processing, and Using Environmental Information. 9th International Conference, UCAmI 2015, Puerto Varas, Chile, December 1-4, 2015, Proceedings (Springer Alemania), pp. 51

  2. A dual approach for quantitative gait analysis based on vision and wearable pressure systems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. A top-down design approach for an automated testing framework

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Vision based extraction of dynamic gait features focused on feet movement using RGB camera

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2014

  1. Distributed power management system with dynamic load management based on multi-agent system for smart grid

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8867, pp. 349-356

  2. Using wavelet transform to disaggregate electrical power consumption into the major end-uses

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8867, pp. 272-279

2013

  1. A vision system for intelligent monitoring of activities of daily living at home

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)