• A deep learning model for natural language querying in Cyber–Physical Systems 

      Llopis, Juan Alberto; Fernández-García, Antonio Jesús; Criado, Javier; Iribarne, Luis; Ayala, Rosa; Wang, James Z. (Elsevier, 2023)
      As a result of technological advancements, the number of IoT devices and services is rapidly increasing. Due to the increasing complexity of IoT devices and the various ways they can operate and communicate, finding a ...
    • Exploring DAG-Based Architecture as an Alternative to Blockchain for Critical IoT Use Cases 

      Ledesma, Oscar; Sánchez, Miguel A.; Lamo-Anuarbe, Paula (Computer Science & Information Technology (CS & IT), 2023)
      This paper analyzes the Directed Acyclic Graph (DAG)-based architecture as an alternative to Blockchain technology for critical Internet of Things (IoT) use cases. The speed of transactions and the scalability of Blockchain ...
    • Machine tools anomaly detection through nearly real-time data analysis 

      Herranz, Gorka ; Antolínez, Alfonso ; Escartín, Javier; Arregi, Amaia; Gerrikagoitia, Jon Kepa (Journal of Manufacturing and Materials Processing, 12/2019)
      This work presents a new methodology for machine tools anomaly detection via operational data processing. The previous methodology has been field tested on a milling-boring machine in a real production environment. This ...