output
20162026
most citedReal-time predictive maintenance for wind turbines using Big Data frameworks

195 citations

19 papers

cs.NI2026★ 24 cited

5G Configured Grant Scheduling for 5G-TSN Integration for the Support of Industry 4.0

Ana Larrañaga, M. Carmen Lucas-Estañ, Imanol Martinez +1

Factories are evolving towards digitalized data-based ecosystems under the paradigm of the Industry 4.0 where new industrial services allow the implementation of more robust, resil…

cs.NI2026★ 9 cited

Configured Grant Scheduling for the Support of TSN Traffic in 5G and Beyond Industrial Networks

M. Carmen Lucas-Estañ, Ana Larrañaga, Javier Gozalvez +1

5G and beyond networks can facilitate the digital transformation of manufacturing and support more flexible and reconfigurable factories with ubiquitous mobile connectivity. This r…

cs.NI2026★ 24 cited

An open-source implementation and validation of 5G NR Configured Grant for URLLC in ns-3 5G LENA: a scheduling case study in Industry 4.0 scenarios

Ana Larrañaga, M. Carmen Lucas-Estañ, Sandra Lagén +3

Factories are undergoing a digital transformation towards cost-efficient, zero-defect manufacturing, creating the need for communication networks capable of meeting stringent laten…

cs.ET2026

The CAPSARII Approach to Cyber-Secure Wearable, Ultra-Low-Power Networked Sensors for Soldier Health Monitoring

Luciano Bozzi, Christian Celidonio, Umberto Nuzzi +15

The European Defence Agency's revised Capability Development Plan (CDP) identifies as a priority improving ground combat capabilities by enhancing soldiers' equipment for better pr…

eess.SY2026★ 82 cited

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part B: Cycling operation

Lucu M., Martinez-Laserna E., Gandiaga I. +4

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide…

eess.SY2026★ 76 cited

Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data -- Part A: Storage operation

Lucu M., Martinez-Laserna E., Gandiaga I. +4

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide…