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Enrique López Droguett
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2020 – today
- 2024
- [j52]Caio Filipe de Lima Munguba, Gustavo de Novaes Pires Leite, Felipe Costa Farias, Alexandre Carlos Araújo da Costa, Olga de Castro Vilela, Valentin Paschoal Perruci, Leonardo José Petribú Brennand, Marrison Gabriel Guedes de Souza, Alvaro Antonio Villa Ochoa, Enrique López Droguett:
Ensemble learning framework for fleet-based anomaly detection using wind turbine drivetrain components vibration data. Eng. Appl. Artif. Intell. 133: 108363 (2024) - [j51]Joaquín Figueroa Barraza, Enrique López Droguett, Marcelo Ramos Martins:
FS-SCF network: Neural network interpretability based on counterfactual generation and feature selection for fault diagnosis. Expert Syst. Appl. 237(Part C): 121670 (2024) - [j50]Leonardo Causa, Juan E. Tapia, Andres Valenzuela, Daniel P. Benalcazar, Enrique López Droguett, Christoph Busch:
Analysis of behavioural curves to classify iris images under the influence of alcohol, drugs, and sleepiness conditions. Expert Syst. Appl. 242: 122808 (2024) - [j49]Taotao Zhou, Laibin Zhang, Jinqiu Hu, Mohammad Modarres, Enrique López Droguett:
A Critical Review and Benchmark Study of Dependency Modeling for Seismic Probabilistic Risk Assessment in the Nuclear Power Industry. Reliab. Eng. Syst. Saf. 245: 110009 (2024) - [j48]Joaquín Figueroa Barraza, Enrique López Droguett, Marcelo Ramos Martins:
SCF-Net: A sparse counterfactual generation network for interpretable fault diagnosis. Reliab. Eng. Syst. Saf. 250: 110285 (2024) - 2023
- [j47]Caio Bezerra Souto Maior, Lavínia M. Mendes Araújo, Isis Didier Lins, Márcio das Chagas Moura, Enrique López Droguett:
Prognostics and Health Management of Rotating Machinery via Quantum Machine Learning. IEEE Access 11: 25132-25151 (2023) - [j46]Daniel P. Benalcazar, Juan E. Tapia, Mauricio Vasquez, Leonardo Causa, Enrique López Droguett, Christoph Busch:
Toward an Efficient Iris Recognition System on Embedded Devices. IEEE Access 11: 133577-133590 (2023) - [j45]Caio Filipe de Lima Munguba, Gustavo de Novaes Pires Leite, Alvaro Antonio Villa Ochoa, Enrique López Droguett:
Condition-based maintenance with reinforcement learning for refrigeration systems with selected monitored features. Eng. Appl. Artif. Intell. 122: 106067 (2023) - [j44]Gustavo de Novaes Pires Leite, Felipe Costa Farias, Tiago Gomes de Sá, Alexandre Carlos Araújo da Costa, Leonardo José Petribú Brennand, Marrison Gabriel Guedes de Souza, Alvaro Antonio Villa Ochoa, Enrique López Droguett:
A robust fleet-based anomaly detection framework applied to wind turbine vibration data. Eng. Appl. Artif. Intell. 126: 106859 (2023) - [j43]Taotao Zhou, Xiaoge Zhang, Enrique López Droguett, Ali Mosleh:
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems. Reliab. Eng. Syst. Saf. 229: 108835 (2023) - [j42]Taotao Zhou, Laibin Zhang, Te Han, Enrique López Droguett, Ali Mosleh, Felix T. S. Chan:
An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications. Reliab. Eng. Syst. Saf. 229: 108865 (2023) - [i14]Gabriel San Martin Silva, Enrique López Droguett:
Quantum-Based Combinatorial Optimization for Structural Health Monitoring Applications. CoRR abs/2305.08738 (2023) - 2022
- [j41]Gabriel San Martín, Enrique López Droguett:
Temporal Variational Auto-Encoders for Semi-Supervised Remaining Useful Life and Fault Diagnosis. IEEE Access 10: 55112-55125 (2022) - [j40]Taotao Zhou, Enrique López Droguett, Ali Mosleh:
Physics-informed deep learning: A promising technique for system reliability assessment. Appl. Soft Comput. 126: 109217 (2022) - [j39]Luis Guarda, Juan E. Tapia, Enrique López Droguett, Marcelo Ramos:
A novel Capsule Neural Network based model for drowsiness detection using electroencephalography signals. Expert Syst. Appl. 201: 116977 (2022) - [j38]Ramin Moradi, Sergio Cofre-Martel, Enrique López Droguett, Mohammad Modarres, Katrina M. Groth:
Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems. Reliab. Eng. Syst. Saf. 222: 108433 (2022) - [j37]Taotao Zhou, Te Han, Enrique López Droguett:
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework. Reliab. Eng. Syst. Saf. 224: 108525 (2022) - [j36]Danilo T. M. P. Abreu, Marcos Coelho Maturana, Enrique López Droguett, Marcelo Ramos Martins:
Human reliability analysis of conventional maritime pilotage operations supported by a prospective model. Reliab. Eng. Syst. Saf. 228: 108763 (2022) - [j35]Andres Ruiz-Tagle, Enrique López Droguett, Katrina M. Groth:
A novel probabilistic approach to counterfactual reasoning in system safety. Reliab. Eng. Syst. Saf. 228: 108785 (2022) - [c2]Juan E. Tapia, Enrique López Droguett, Christoph Busch:
Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network. ICPR 2022: 959-966 - [i13]Leonardo Causa, Juan E. Tapia, Enrique López Droguett, Andres Valenzuela, Daniel P. Benalcazar, Christoph Busch:
Behavioural Curves Analysis Using Near-Infrared-Iris Image Sequences. CoRR abs/2203.02488 (2022) - [i12]Luis Guarda, Juan E. Tapia, Enrique López Droguett, Marcelo Ramos:
A Novel Capsule Neural Network Based Model for Drowsiness Detection Using Electroencephalography Signals. CoRR abs/2204.01666 (2022) - [i11]Gabriel San Martin Silva, Tarannom Parhizkar, Enrique López Droguett:
Quantum Fault Trees. CoRR abs/2204.10877 (2022) - [i10]Juan E. Tapia, Enrique López Droguett, Christoph Busch:
Alcohol Consumption Detection from Periocular NIR Images Using Capsule Network. CoRR abs/2209.01657 (2022) - [i9]Juan E. Tapia, Daniel P. Benalcazar, Andres Valenzuela, Leonardo Causa, Enrique López Droguett, Christoph Busch:
Learning to Predict Fitness for Duty using Near Infrared Periocular Iris Images. CoRR abs/2209.01683 (2022) - [i8]Daniel P. Benalcazar, Juan E. Tapia, Mauricio Vasquez, Leonardo Causa, Enrique López Droguett, Christoph Busch:
Towards an efficient Iris Recognition System on Embedded Devices. CoRR abs/2210.13101 (2022) - 2021
- [j34]Juan E. Tapia, Enrique López Droguett, Andres Valenzuela, Daniel P. Benalcazar, Leonardo Causa, Christoph Busch:
Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects. IEEE Access 9: 109732-109744 (2021) - [j33]Taotao Zhou, Mohammad Modarres, Enrique López Droguett:
Multi-unit nuclear power plant probabilistic risk assessment: A comprehensive survey. Reliab. Eng. Syst. Saf. 213: 107782 (2021) - [j32]Joaquín Figueroa Barraza, Enrique López Droguett, Marcelo Ramos Martins:
Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks. Sensors 21(17): 5888 (2021) - [j31]Sergio Cofre-Martel, Enrique López Droguett, Mohammad Modarres:
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management. Sensors 21(20): 6841 (2021) - [i7]Juan E. Tapia, Enrique López Droguett, Andres Valenzuela, Daniel P. Benalcazar, Leonardo Causa, Christoph Busch:
Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects. CoRR abs/2106.15828 (2021) - [i6]Taotao Zhou, Enrique López Droguett, Ali Mosleh:
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment. CoRR abs/2108.10828 (2021) - [i5]Gabriel San Martín, Enrique López Droguett:
Quantum Machine Learning for Health State Diagnosis and Prognostics. CoRR abs/2108.12265 (2021) - [i4]Sergio Cofre-Martel, Enrique López Droguett, Mohammad Modarres:
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management. CoRR abs/2110.04256 (2021) - [i3]Taotao Zhou, Enrique López Droguett, Ali Mosleh, Felix T. S. Chan:
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications. CoRR abs/2111.00874 (2021) - [i2]Taotao Zhou, Xiaoge Zhang, Enrique López Droguett, Ali Mosleh:
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems. CoRR abs/2112.00220 (2021) - 2020
- [j30]Joaquín Figueroa Barraza, Enrique López Droguett, Viviana Meruane Naranjo, Marcelo Ramos Martins:
Capsule Neural Networks for structural damage localization and quantification using transmissibility data. Appl. Soft Comput. 97(Part): 106732 (2020) - [j29]José García, Eduardo Lalla-Ruiz, Stefan Voß, Enrique López Droguett:
Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem. Int. J. Mach. Learn. Cybern. 11(9): 1951-1970 (2020) - [j28]Marilia Abílio Ramos, Enrique López Droguett, Ali Mosleh, Márcio das Chagas Moura:
A human reliability analysis methodology for oil refineries and petrochemical plants operation: Phoenix-PRO qualitative framework. Reliab. Eng. Syst. Saf. 193: 106672 (2020) - [j27]Taotao Zhou, Enrique López Droguett, Mohammad Modarres:
A common cause failure model for components under age-related degradation. Reliab. Eng. Syst. Saf. 195: 106699 (2020) - [j26]Ana Cláudia Souza Vidal de Negreiros, Isis Didier Lins, Márcio José das Chagas Moura, Enrique López Droguett:
Reliability data analysis of systems in the wear-out phase using a (corrected) q-Exponential likelihood. Reliab. Eng. Syst. Saf. 197: 106787 (2020) - [j25]David Verstraete, Enrique López Droguett, Mohammad Modarres:
A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics. Sensors 20(1): 176 (2020) - [j24]Zahra Mahmoodzadeh, Keo-Yuan Wu, Enrique López Droguett, Ali Mosleh:
Condition-Based Maintenance with Reinforcement Learning for Dry Gas Pipeline Subject to Internal Corrosion. Sensors 20(19): 5708 (2020) - [i1]Sergio Cofre-Martel, Enrique López Droguett, Mohammad Modarres:
Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis. CoRR abs/2006.09288 (2020)
2010 – 2019
- 2019
- [j23]Taotao Zhou, Mohammad Modarres, Enrique López Droguett:
Multi-unit risk aggregation with consideration of uncertainty and bias in risk metrics. Reliab. Eng. Syst. Saf. 188: 473-482 (2019) - 2018
- [j22]Elaheh Rabiei, Enrique López Droguett, Mohammad Modarres:
Fully Adaptive Particle Filtering Algorithm for Damage Diagnosis and Prognosis. Entropy 20(2): 100 (2018) - [j21]Isis Didier Lins, Márcio das Chagas Moura, Enrique López Droguett, Thaís Lima Corrêa:
Combining Generalized Renewal Processes with Non-Extensive Entropy-Based q-Distributions for Reliability Applications. Entropy 20(4): 223 (2018) - [j20]Taotao Zhou, Mohammad Modarres, Enrique López Droguett:
An improved multi-unit nuclear plant seismic probabilistic risk assessment approach. Reliab. Eng. Syst. Saf. 171: 34-47 (2018) - 2017
- [j19]Viviana Meruane, Pablo Véliz, Enrique López Droguett, Alejandro Ortiz-Bernardin:
Impact Location and Quantification on an Aluminum Sandwich Panel Using Principal Component Analysis and Linear Approximation with Maximum Entropy. Entropy 19(4): 137 (2017) - [j18]Viviana Meruane, Matias Lasen, Enrique López Droguett, Alejandro Ortiz-Bernardin:
Modal Strain Energy-Based Debonding Assessment of Sandwich Panels Using a Linear Approximation with Maximum Entropy. Entropy 19(11): 619 (2017) - [j17]Rodrigo Pascual, Matías Siña, Gabriel Santelices, Milton Román, Enrique López Droguett:
Optimal channel coordination in use-based product-service system contracts. Int. J. Prod. Res. 55(23): 6946-6956 (2017) - [j16]Romero Sales Filho, Enrique López Droguett, Isis Didier Lins, Márcio das Chagas Moura, Mehdi Amiri, Rafael Valença Azevedo:
Stress-Strength Reliability Analysis with Extreme Values based on q-Exponential Distribution. Qual. Reliab. Eng. Int. 33(3): 457-477 (2017) - [j15]Meng Xu, Enrique López Droguett, Isis Didier Lins, Márcio das Chagas Moura:
On the q-Weibull distribution for reliability applications: An adaptive hybrid artificial bee colony algorithm for parameter estimation. Reliab. Eng. Syst. Saf. 158: 93-105 (2017) - [j14]Márcio das Chagas Moura, João Mateus Marques Santana, Enrique López Droguett, Isis Didier Lins, Bruno Nunes Guedes:
Analysis of extended warranties for medical equipment: A Stackelberg game model using priority queues. Reliab. Eng. Syst. Saf. 168: 338-354 (2017) - 2016
- [j13]Márcio das Chagas Moura, Rafael Valença Azevedo, Enrique López Droguett, Leandro Chaves Rêgo, Isis Didier Lins, Romulo Fernando Vilela, Romero Sales Filho:
Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model. Reliab. Eng. Syst. Saf. 150: 136-146 (2016) - [j12]Márcio das Chagas Moura, Rafael Valença Azevedo, Enrique López Droguett, Leandro Chaves Rêgo, Isis Didier Lins, Romulo Fernando Vilela, Romero Sales Filho:
Corrigendum to "Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model" [Reliab. Eng. Syst. Saf. 150(2016) 136-146]. Reliab. Eng. Syst. Saf. 154: 234 (2016) - 2015
- [j11]Márcio das Chagas Moura, Isis Didier Lins, Enrique López Droguett, Rodrigo Ferreira Soares, Rodrigo Pascual:
A Multi-Objective Genetic Algorithm for determining efficient Risk-Based Inspection programs. Reliab. Eng. Syst. Saf. 133: 253-265 (2015) - [j10]Isis Didier Lins, Enrique López Droguett, Márcio das Chagas Moura, Enrico Zio, Carlos Magno Couto Jacinto:
Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression. Reliab. Eng. Syst. Saf. 137: 120-128 (2015) - [c1]Mehdi Amiri, Mohammad Modarres, Enrique López Droguett:
AE entropy for detection of fatigue crack initiation and growth. ICPHM 2015: 1-8 - 2013
- [j9]Isis Didier Lins, Moacyr Araújo, Márcio das Chagas Moura, Marcus André Silva, Enrique López Droguett:
Prediction of sea surface temperature in the tropical Atlantic by support vector machines. Comput. Stat. Data Anal. 61: 187-198 (2013) - [j8]Ronay Ak, Yan-Fu Li, Valeria Vitelli, Enrico Zio, Enrique López Droguett, Carlos Magno Couto Jacinto:
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment. Expert Syst. Appl. 40(4): 1205-1212 (2013) - [j7]Isis Didier Lins, Leandro Chaves Rêgo, Márcio das Chagas Moura, Enrique López Droguett:
Selection of security system design via games of imperfect information and multi-objective genetic algorithm. Reliab. Eng. Syst. Saf. 112: 59-66 (2013) - 2012
- [j6]Isis Didier Lins, Márcio das Chagas Moura, Enrico Zio, Enrique López Droguett:
A particle swarm-optimized support vector machine for reliability prediction. Qual. Reliab. Eng. Int. 28(2): 141-158 (2012) - 2011
- [j5]Márcio das Chagas Moura, Enrico Zio, Isis Didier Lins, Enrique López Droguett:
Failure and reliability prediction by support vector machines regression of time series data. Reliab. Eng. Syst. Saf. 96(11): 1527-1534 (2011) - [j4]Isis Didier Lins, Enrique López Droguett:
Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation. Simul. Model. Pract. Theory 19(1): 362-381 (2011)
2000 – 2009
- 2009
- [j3]Márcio das Chagas Moura, Enrique López Droguett:
Mathematical formulation and numerical treatment based on transition frequency densities and quadrature methods for non-homogeneous semi-Markov processes. Reliab. Eng. Syst. Saf. 94(2): 342-349 (2009) - 2008
- [j2]Enrique López Droguett, Márcio das Chagas Moura, Carlos Magno Couto Jacinto, Manoel Feliciano Silva Jr.:
A semi-Markov model with Bayesian belief network based human error probability for availability assessment of downhole optical monitoring systems. Simul. Model. Pract. Theory 16(10): 1713-1727 (2008) - 2004
- [j1]Enrique López Droguett, Frank J. Groen, Ali Mosleh:
The combined use of data and expert estimates in population variability analysis. Reliab. Eng. Syst. Saf. 83(3): 311-321 (2004)
Coauthor Index
aka: Márcio José das Chagas Moura
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last updated on 2024-08-05 21:12 CEST by the dblp team
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