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RESEARCH AND INTERESTS
Bayesian inference and artificial intelligence supported digital twins and prognostics and health management based on physics informed deep learning for reliability, risk and safety assessment of structural and mechanical systems, quantum computing and quantum machine learning for developing solutions for risk and reliability quantification and energy efficiency of complex systems, particularly those involved in renewable energy production.
Bayesian inference and artificial intelligence supported digital twins and prognostics and health management based on physics informed deep learning for reliability, risk and safety assessment of structural and mechanical systems, quantum computing and quantum machine learning for developing solutions for risk and reliability quantification and energy efficiency of complex systems, particularly those involved in renewable energy production.
研究兴趣
论文共 211 篇作者统计合作学者相似作者
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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 de Petribú Brennand, Marrison Gabriel Guedes de Souza,Alvaro Antonio Ochoa Villa,Enrique Lopez Droguett
EXPERT SYSTEMS WITH APPLICATIONS (2024): 122808
Alesson Itallo Ribeiro Dias da Silva,Gustavo de Novaes Pires Leite,Alex Mauricio Araujo, Alvaro Antonio Ochoa Villa,Alexandre Carlos Araujo da Costa,Cesar Augusto Salhua Moreno, Franciele Weschenfelder,Enrique Lopez Droguett
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2024): 103704
EXPERT SYSTEMS WITH APPLICATIONSno. Part C (2024): 121670-121670
2024 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, RAMSpp.1-7, (2024)
STRUCTURAL CONTROL & HEALTH MONITORING (2024): 1-28
RELIABILITY ENGINEERING & SYSTEM SAFETY (2024): 110009
Daniel P. Benalcazar,Juan E. Tapia, Mauricio Vasquez,Leonardo Causa,Enrique Lopez Droguett,Christoph Busch
IEEE ACCESS (2023): 133577-133590
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