11
TÍTULO: On the reliability of finite element models for the training of machine learningalgorithms for damage detection in bridges
AUTORES: Bud, MA; Nedelcu, M; Radu, L; Moldovan, I; Figueired, E;
PUBLICAÇÃO: 2019, FONTE: 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 in Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, VOLUME: 1
INDEXADO EM: Scopus
12
TÍTULO: A generalized approach to integrate machine learning, finite element modeling and monitoring data for bridges
AUTORES: Santos, A; Figueiredo, E; Campos, P; Moldovan, I; Costa, JCWA;
PUBLICAÇÃO: 2017, FONTE: 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017 in Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017, VOLUME: 1
INDEXADO EM: Scopus
13
TÍTULO: A coupled numerical-experimental approach for bender-based G0 measurements in geomaterials
AUTORES: Moldovan, ID; Correia, AG; Pereira, C;
PUBLICAÇÃO: 2017, FONTE: 19th International Conference on Soil Mechanics and Geotechnical Engineering, ICSMGE 2017 in ICSMGE 2017 - 19th International Conference on Soil Mechanics and Geotechnical Engineering, VOLUME: 2017-September
INDEXADO EM: Scopus
NO MEU: ORCID
Página 2 de 2. Total de resultados: 13.