基本信息
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个人简介
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 230 篇作者统计合作学者相似作者
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2024 IEEE International Conference on Prognostics and Health Management (ICPHM)pp.257-264, (2024)
EXPERT SYSTEMS WITH APPLICATIONS (2024)
EXPERT SYSTEMS WITH APPLICATIONS (2024)
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2024)
Reliability Engineering & System Safety (2024): 110285-110285
2024 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, RAMS (2024)
Samuel Bezerra da Gama Neto,Gustavo de Novaes Pires Leite,Alvaro Antonio Ochoa Villa,Enrique Lopez Droguett,Alexandre Carlos Araújo da Costa, Olga Vilela
Proceedings of the XII Congresso Nacional de Engenharia Mecânica - CONEM 2024 (2024)
Proceedings of the Institution of Mechanical Engineers, Part O Journal of Risk and Reliability (2024)
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作者统计
#Papers: 231
#Citation: 2586
H-Index: 27
G-Index: 45
Sociability: 6
Diversity: 0
Activity: 3
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