DANIEL
PÉREZ LÓPEZ
Profesor Titular de Universidad
JUAN JOSÉ
FUERTES MARTÍNEZ
Profesor Titular de Universidad
Publications dans lesquelles il/elle collabore avec JUAN JOSÉ FUERTES MARTÍNEZ (15)
2024
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Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder
Integrated Computer-Aided Engineering, Vol. 31, Núm. 2, pp. 157-172
2023
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Hierarchical Prediction in Incomplete Submetering Systems Using a CNN
Communications in Computer and Information Science
2022
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Armario para la formación en automatización y control de subestaciones eléctricas de tracción
XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)
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Demostradores para la formación en digitalización de la industria
Premios a la innovación en la enseñanza, Núm. 21, pp. 65-116
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Design of Platforms for Experimentation in Industrial Cybersecurity
Applied Sciences (Switzerland), Vol. 12, Núm. 13
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Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network
Communications in Computer and Information Science, Vol. 1600 CCIS, pp. 247-259
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Remote training in cybersecurity for industrial control systems
IFAC-PapersOnLine, Vol. 55, Núm. 17, pp. 320-325
2021
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Environment for Education on Industry 4.0
IEEE Access, Vol. 9, pp. 144395-144405
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Evaluation of feature learning for anomaly detection in network traffic
Evolving Systems, Vol. 12, Núm. 1, pp. 79-90
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Virtual sensor for probabilistic estimation of the evaporation in cooling towers
Integrated Computer-Aided Engineering, Vol. 28, Núm. 4, pp. 369-381
2020
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Feature extraction from building submetering networks using deep learning
Sensors (Switzerland), Vol. 20, Núm. 13, pp. 1-21
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Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, pp. 155-166
2019
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A deep learning approach for fusing sensor data from screw compressors
Sensors (Switzerland), Vol. 19, Núm. 13
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Comparison of network intrusion detection performance using feature representation
Communications in Computer and Information Science
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Experimentation environment for industrial control systems cybersecurity: On-site and remote training
IFAC-PapersOnLine