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López Droguett, Enrique
208  Ergebnisse:
Personensuche X
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1

FS-SCF network: Neural network interpretability based on co..:

Figueroa Barraza, Joaquín ; López Droguett, Enrique ; Ramos Martins, Marcelo
Expert Systems with Applications.  237 (2024)  - p. 121670 , 2024
Link: https://doi.org/10.1016/..
 
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2

Aerodynamic interference caused by wake effects of repowere..:

Itallo Ribeiro Dias da Silva, Alesson ; de Novaes Pires Leite, Gustavo ; Maurício Araújo, Alex...
Sustainable Energy Technologies and Assessments.  64 (2024)  - p. 103704 , 2024
Link: https://doi.org/10.1016/..
 
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3

Quantum‐Based Combinatorial Optimization for Optimal Sensor..:

San Martín, Gabriel ; López Droguett, Enrique ; Yuen, Ka-Veng
Structural Control and Health Monitoring.  2024 (2024)  1 - p. , 2024
Link: https://doi.org/10.1155/..
 
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4

Ensemble learning framework for fleet-based anomaly detecti..:

de Lima Munguba, Caio Filipe ; de Novaes Pires Leite, Gustavo ; Costa Farias, Felipe...
Engineering Applications of Artificial Intelligence.  133 (2024)  - p. 108363 , 2024
Link: https://doi.org/10.1016/..
 
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5

Condition-based maintenance with reinforcement learning for..:

de Lima Munguba, Caio Filipe ; de Novaes Pires Leite, Gustavo ; Ochoa, Alvaro Antonio Villa.
Engineering Applications of Artificial Intelligence.  122 (2023)  - p. 106067 , 2023
Link: https://doi.org/10.1016/..
 
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6

Quantum Inference for Reliability Assessment:

, In: 2023 Annual Reliability and Maintainability Symposium (RAMS),
San Marti Silva, Gabrieln ; Lopez Droguett, Enrique - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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7

Exploring Quantum Machine Learning and Feature Reduction Te..:

Correa-Jullian, Camila ; Cofre-Martel, Sergio ; San Martin, Gabriel...
Energies.  15 (2022)  8 - p. 2792 , 2022
Link: https://doi.org/10.3390/..
 
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8

Characterization of the modal response using Deep recurrent..:

González, Wladimir M. ; Ferrada, Andrés ; Boroschek, Rubén L..
Engineering Structures.  256 (2022)  - p. 113915 , 2022
Link: https://doi.org/10.1016/..
 
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9

Integration of deep learning and Bayesian networks for cond..:

Moradi, Ramin ; Cofre-Martel, Sergio ; Lopez Droguett, Enrique..
Reliability Engineering & System Safety.  222 (2022)  - p. 108433 , 2022
Link: https://doi.org/10.1016/..
 
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10

A Deep Learning Framework for Damage Assessment of Composit..:

Meruane, Viviana ; Aichele, Diego ; Ruiz, Rafael..
Shock and Vibration.  2021 (2021)  - p. 1-12 , 2021
Link: https://doi.org/10.1155/..
 
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11

Towards Interpretable Deep Learning: A Feature Selection Fr..:

Figueroa Barraza, Joaquín ; López Droguett, Enrique ; Martins, Marcelo Ramos
Sensors.  21 (2021)  17 - p. 5888 , 2021
Link: https://doi.org/10.3390/..
 
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12

Big Machinery Data Preprocessing Methodology for Data-Drive..:

Cofre-Martel, Sergio ; Lopez Droguett, Enrique ; Modarres, Mohammad
Sensors.  21 (2021)  20 - p. 6841 , 2021
Link: https://doi.org/10.3390/..
 
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13

Exploiting the Capabilities of Bayesian Networks for Engine..:

Ruiz‐Tagle, Andres ; Lopez Droguett, Enrique ; Groth, Katrina M.
Risk Analysis.  42 (2021)  6 - p. 1306-1324 , 2021
Link: https://doi.org/10.1111/..
 
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14

Remaining Useful Life Estimation through Deep Learning Part..:

Cofre-Martel, Sergio ; Lopez Droguett, Enrique ; Modarres, Mohammad.
Shock and Vibration.  2021 (2021)  - p. 1-15 , 2021
Link: https://doi.org/10.1155/..
 
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15

Assessment of Deep Learning techniques for Prognosis of sol..:

Correa-Jullian, Camila ; Cardemil, José Miguel ; López Droguett, Enrique.
Renewable Energy.  145 (2020)  - p. 2178-2191 , 2020
Link: https://doi.org/10.1016/..
 
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