Now showing items 1-5 of 5

    • Bitcoin and cybersecurity: temporal dissection of blockchain data to unveil changes in entity behavioral patterns 

      Zola, Francesco; Bruse, Jan Lukas; Eguimendia, María; Galar Idoate, Mikel Upna; Orduna Urrutia, Raúl (MDPI, 2019)   Artículo / Artikulua  OpenAccess
      The Bitcoin network not only is vulnerable to cyber-attacks but currently represents the most frequently used cryptocurrency for concealing illicit activities. Typically, Bitcoin activity is monitored by decreasing anonymity ...
    • Exploring the addition of audio input to wearable punch recognition 

      Quintero Ovalle, Juan; Stawarz, Katarzyna; Marzo Pérez, Asier Upna (Association for Computing Machinery (ACM), 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Martial arts can promote healthy lifestyles, improve self-confidence and provide self-defence skills. Previous work has demonstrated that inertial sensors can be used to recognise movements such as punches in boxing and ...
    • A friendly approach to Open Government: Chatbots 

      Bermejo Razquin, Javier (2018)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      This end-of-degree project presents an idea to assists citizens in the use of Open Government online portals. These serve, among other functionalities, to do bureaucratic processes without needing to go to their offices. ...
    • Immediate brain plasticity after one hour of brain-computer interface (BCI) 

      Nierhaus, Till; Vidaurre, Carmen; Sannelli, Claudia; Mueller, Klaus-Robert; Villringer, Arno (Wiley, 2019)   Artículo / Artikulua  OpenAccess
      A brain-computer-interface (BCI) allows humans to control computational devices using only neural signals. However, it is still an open question, whether performing BCI also impacts on the brain itself, i.e. whether brain ...
    • Real-time vehicle detection and tracking in video surveillance cameras 

      Sotés Senosiain, Urtzi (2020)   Trabajo Fin de Grado/Gradu Amaierako Lana  OpenAccess
      This End of Degree Work is directed to the field of Artificial Intelligence, expressly it is focused on the study of the Deep Learning techniques. Particularly, convolutional neural networks are studied with the aim of ...