output
20062026
most citedReal-time predictive maintenance for wind turbines using Big Data frameworks

195 citations

12 papers

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…

cs.LG2023★ 5 cited

Diagnostic Spatio-temporal Transformer with Faithful Encoding

Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen +2

This paper addresses the task of anomaly diagnosis when the underlying data generation process has a complex spatio-temporal (ST) dependency. The key technical challenge is to extr…

cs.CR2023★ 139 cited

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano +2

There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover, the sophistication and motivation of those attacks is increasing. The vast scale of IoT…

cs.CR2022★ 37 cited

Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation

Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano +2

The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising resul…

cs.CR2022★ 65 cited

Securing IIoT using Defence-in-Depth: Towards an End-to-End Secure Industry 4.0

Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga +1

Industry 4.0 uses a subset of the IoT, named Industrial IoT (IIoT), to achieve connectivity, interoperability, and decentralization. The deployment of industrial networks rarely co…