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Estimating cooling production and monitoring efficiency in chillers using a soft sensor

Neural computing & applications, 2020-12, Vol.32 (23), p.17291-17308

2020

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Quantitative videocapillaroscopy correlates with functional respiratory parameters: a clue for vasculopathy as a pathogenic mechanism for lung injury in systemic sclerosis

Arthritis research & therapy, 2018-12, Vol.20 (1), p.281-281, Article 281

2018

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Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder

Integrated computer-aided engineering, 2024-01, Vol.31 (2), p.157-172

2024

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Guidelines to develop demonstration models on industry 4.0 for engineering training

International journal of computer integrated manufacturing, 2023-10, Vol.36 (10), p.1465-1481

2023

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Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell

Computers and education, 2015-07, Vol.85, p.180-190

2015

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Virtual sensor for probabilistic estimation of the evaporation in cooling towers

Integrated computer-aided engineering, 2021-01, Vol.28 (4), p.369-381

2021

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Evaluation of feature learning for anomaly detection in network traffic

Evolving systems, 2021-03, Vol.12 (1), p.79-90

2021

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Good outcome of interstitial lung disease in patients with scleroderma associated to anti-PM/Scl antibody

Seminars in arthritis and rheumatism, 2014-12, Vol.44 (3), p.331-337

2014

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Dimensionality reduction techniques to analyze heating systems in buildings

Information sciences, 2015-02, Vol.294, p.553-564

2015

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An Approach to Develop Digital Twins in Industry

Sensors (Basel, Switzerland), 2024-02, Vol.24 (3), p.998

2024

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Comparative analysis of the security of configuration protocols for industrial control devices

International journal of critical infrastructure protection, 2017-12, Vol.19, p.4-15

2017

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Engineering Applications of Neural Networks: 24th International Conference, EAAAI/EANN 2023, león, Spain, June 14-17, 2023, Proceedings

1, 2023

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A Deep Learning Approach for Fusing Sensor Data from Screw Compressors

Sensors (Basel, Switzerland), 2019-06, Vol.19 (13), p.2868

2019

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Monitoring industrial processes with SOM-based dissimilarity maps

Expert systems with applications, 2012-06, Vol.39 (8), p.7110-7120

2012

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Feature Extraction from Building Submetering Networks Using Deep Learning

Sensors (Basel, Switzerland), 2020-06, Vol.20 (13), p.3665

2020

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Comparison of Network Intrusion Detection Performance Using Feature Representation

Engineering Applications of Neural Networks, p.463-475

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Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network

Engineering Applications of Neural Networks, p.247-259

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A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study

Energies (Basel), 2019-03, Vol.12 (5), p.827

2019

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Design of Platforms for Experimentation in Industrial Cybersecurity

Applied sciences, 2022-07, Vol.12 (13), p.6520

2022

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MONITORING POWER CONSUMPTION USING A GENERALIZED VARIANT OF SELF-ORGANIZING MAP (SOM)

International journal of modern physics. B, Condensed matter physics, statistical physics, applied physics, 2012-10, Vol.26 (25), p.1246005

2012

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TIME SERIES FOR FAULT DETECTION IN AN INDUSTRIAL PILOT PLANT

International journal of modern physics. B, Condensed matter physics, statistical physics, applied physics, 2012-10, Vol.26 (25), p.1246003

2012

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Energy analytics in public buildings using interactive histograms

Energy and buildings, 2017-01, Vol.134, p.94-104

2017

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Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers

Engineering Applications of Neural Networks, p.307-319

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Communication with resource-constrained devices through MQTT for control education

IFAC-PapersOnLine, 2016, Vol.49 (6), p.150-155

2016

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Remote training in cybersecurity for industrial control systems

IFAC-PapersOnLine, 2022, Vol.55 (17), p.320-325

2022

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Estimating cooling production and monitoring efficiency in chillers using a soft sensor

Quantitative videocapillaroscopy correlates with functional respiratory parameters: a clue for vasculopathy as a pathogenic mechanism for lung injury in systemic sclerosis

Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder

Guidelines to develop demonstration models on industry 4.0 for engineering training

Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell

Virtual sensor for probabilistic estimation of the evaporation in cooling towers

Evaluation of feature learning for anomaly detection in network traffic

Good outcome of interstitial lung disease in patients with scleroderma associated to anti-PM/Scl antibody

Dimensionality reduction techniques to analyze heating systems in buildings

An Approach to Develop Digital Twins in Industry

Comparative analysis of the security of configuration protocols for industrial control devices

Engineering Applications of Neural Networks: 24th International Conference, EAAAI/EANN 2023, león, Spain, June 14-17, 2023, Proceedings

A Deep Learning Approach for Fusing Sensor Data from Screw Compressors

Monitoring industrial processes with SOM-based dissimilarity maps

Feature Extraction from Building Submetering Networks Using Deep Learning

Comparison of Network Intrusion Detection Performance Using Feature Representation

Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network

A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study

Design of Platforms for Experimentation in Industrial Cybersecurity

MONITORING POWER CONSUMPTION USING A GENERALIZED VARIANT OF SELF-ORGANIZING MAP (SOM)

TIME SERIES FOR FAULT DETECTION IN AN INDUSTRIAL PILOT PLANT

Energy analytics in public buildings using interactive histograms

Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers

Communication with resource-constrained devices through MQTT for control education

Remote training in cybersecurity for industrial control systems

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