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Alonso, Serafín
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1

An Approach to Develop Digital Twins in Industry:

González-Herbón, Raúl ; González-Mateos, Guzmán ; Rodríguez-Ossorio, José R....
Sensors.  24 (2024)  3 - p. 998 , 2024
Link: https://doi.org/10.3390/..
 
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2

Machine Learning Modeling in Industrial Processes for Visua..:

, In: Engineering Applications of Neural Networks; Communications in Computer and Information Science,
Morán, Antonio ; Alonso, Serafín ; Fuertes, Juan J.... - p. 379-391 , 2024
Link: https://doi.org/10.1007/..
 
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3

Gap imputation in related multivariate time series through ..:

Alonso, Serafín ; Morán, Antonio ; Pérez, Daniel...
Integrated Computer-Aided Engineering.  31 (2024)  2 - p. 157-172 , 2024
Link: https://doi.org/10.3233/..
 
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4

Hierarchical Prediction in Incomplete Submetering Systems U..:

, In: Engineering Applications of Neural Networks; Communications in Computer and Information Science,
Alonso, Serafín ; Morán, Antonio ; Pérez, Daniel... - p. 239-250 , 2023
Link: https://doi.org/10.1007/..
 
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5

Guidelines to develop demonstration models on industry 4.0 ..:

Fuertes, Juan J. ; González-Herbón, Raúl ; Rodríguez-Ossorio, José R....
International Journal of Computer Integrated Manufacturing.  36 (2023)  10 - p. 1465-1481 , 2023
Link: https://doi.org/10.1080/..
 
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6

Virtual Flow Meter for an Industrial Process:

, In: Engineering Applications of Neural Networks; Communications in Computer and Information Science,
González-Herbón, Raúl ; González-Mateos, Guzmán ; Alonso, Serafín... - p. 433-444 , 2023
Link: https://doi.org/10.1007/..
 
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7

Engineering Applications of Neural Networks: 24th Internati.. 

Communications in Computer and Information Science, 1826
Iliadis, Lazaros ; Maglogiannis, Ilias ; Alonso, Serafin.. - 1st ed. 2023 . , 2023
Link: https://doi.org/10.1007/..
 
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8

Design of Platforms for Experimentation in Industrial Cyber..:

Domínguez, Manuel ; Fuertes, Juan J. ; Prada, Miguel A....
Applied Sciences.  12 (2022)  13 - p. 6520 , 2022
Link: https://doi.org/10.3390/..
 
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9

Reconstructing Electricity Profiles in Submetering Systems ..:

, In: Engineering Applications of Neural Networks; Communications in Computer and Information Science,
Alonso, Serafín ; Morán, Antonio ; Pérez, Daniel... - p. 247-259 , 2022
Link: https://doi.org/10.1007/..
 
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10

Virtual sensor for probabilistic estimation of the evaporat..:

Alonso, Serafín ; Morán, Antonio ; Pérez, Daniel...
Integrated Computer-Aided Engineering.  28 (2021)  4 - p. 369-381 , 2021
Link: https://doi.org/10.3233/..
 
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11

Evaluation of feature learning for anomaly detection in net..:

Pérez, Daniel ; Alonso, Serafín ; Morán, Antonio...
Evolving Systems.  12 (2020)  1 - p. 79-90 , 2020
Link: https://doi.org/10.1007/..
 
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12

Feature Extraction from Building Submetering Networks Using..:

Morán, Antonio ; Alonso, Serafín ; Pérez, Daniel...
Sensors.  20 (2020)  13 - p. 3665 , 2020
Link: https://doi.org/10.3390/..
 
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13

Probabilistic Estimation of Evaporated Water in Cooling Tow..:

, In: Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference; Proceedings of the International Neural Networks Society,
Alonso, Serafí­n ; Morán, Antonio ; Pérez, Daniel... - p. 155-166 , 2020
Link: https://doi.org/10.1007/..
 
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14

Estimating cooling production and monitoring efficiency in ..:

Alonso, Serafín ; Morán, Antonio ; Pérez, Daniel...
Neural Computing and Applications.  32 (2020)  23 - p. 17291-17308 , 2020
Link: https://doi.org/10.1007/..
 
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15

Comparison of Network Intrusion Detection Performance Using..:

, In: Engineering Applications of Neural Networks; Communications in Computer and Information Science,
Pérez, Daniel ; Alonso, Serafín ; Morán, Antonio... - p. 463-475 , 2019
Link: https://doi.org/10.1007/..
 
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