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Remote maintenance support with the aid of cyber-physical systems and cloud technology 

Zurutuza, Urko; Gorostegui, Unai (Sage Journals, 2018)
This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud ...
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Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis 

Ezpeleta, Enaitz; Garitano, Iñaki; Zurutuza, Urko (World Scientific Publishing, 2017)
Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a ...
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Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends 

Iturbe, Mikel; Garitano, Iñaki; Zurutuza, Urko; Uribeetxeberria, Roberto (The Wiley Hindawi Partnership, 2017)
Industrial Networks (INs) are widespread environments where heterogeneous devices collaborate to control and monitor physical processes. Some of the controlled processes belong to Critical Infrastructures (CIs), and, as ...
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The MANTIS Book. Cyber Physical System Based Proactive Collaborative Maintenance 

Zurutuza, Urko (River Publishers, 2018)
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A Big Data implementation of the MANTIS Reference Architecture for Predictive Maintenance 

Larrinaga, Felix; Zugasti, Ekhi; Garitano, Iñaki; Zurutuza, Urko (Sage Journals, 2019)
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A study of the personalization of spam content using Facebook public information 

Ezpeleta, Enaitz; Zurutuza, Urko (Oxford University Press, 2017)
Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], ...
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A neural-visualization IDS for honeynet data 

Zurutuza, Urko (World Scientific, 2012)
Neural intelligent systems can provide a visualization of the network traffic for security staff, in order to reduce the widely known high false-positive rate associated with misuse-based Intrusion Detection Systems (IDSs). ...
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SDRS: A new lossless dimensionality reduction for text corpora 

Velez de Mendizabal, Iñaki; Ezpeleta, Enaitz; Zurutuza, Urko (Elsevier Ltd., 2020)
In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, ...
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A methodology and experimental implementation for industrial robot health assessment via torque signature analysis 

Izagirre, Unai; andonegui, imanol; Egea, Aritz; Zurutuza, Urko (MDPI AG, 2020)
This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ...
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Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge 

Serradilla, Oscar; Zugasti, Ekhi; Zurutuza, Urko (Taylor and Francis, 2022)
The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ...
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Zurutuza, Urko (25)
Garitano, Iñaki (7)Ezpeleta, Enaitz (5)Iturbe, Mikel (5)Velez de Mendizabal, Iñaki (4)Zugasti, Ekhi (4)andonegui, imanol (3)Etxezarreta, Xabier (3)Izagirre, Unai (3)Serradilla, Oscar (3)... másMateriapredictive maintenance (5)security (4)Software defined networking (4)spam (3)Botnet (2)Industrial Control Systems (2)Industrial control systems (2)Industry 4.0 (2)Intrusion Detection (2)Machine learning (2)... másFecha2020 - 2024 (16)2012 - 2019 (9)Has File(s)
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Recolectado por:

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