ENTEZAMI, ALIREZA
Risultati 1 - 12 di 12 (tempo di esecuzione: 0.077 secondi).
Big data analytics and structural health monitoring: A statistical pattern recognition-based approach
2020-01-01 Entezami, A.; Sarmadi, H.; Behkamal, B.; Mariani, S.
Bridge health monitoring in environmental variability by new clustering and threshold estimation methods
2021-01-01 Sarmadi, H.; Entezami, A.; Salar, M.; De Michele, C.
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection
2020-01-01 Entezami, A.; Shariatmadar, H.; Mariani, S.
Early Damage Detection for Partially Observed Structures with an Autoregressive Spectrum and Distance-Based Methodology
2021-01-01 Entezami, Alireza; Mariani, Stefano
Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks
2020-01-01 Entezami, A.; Shariatmadar, H.; Mariani, S.
Health monitoring of large‐scale civil structures: An approach based on data partitioning and classical multidimensional scaling
2021-01-01 Entezami, A.; Sarmadi, H.; Behkamal, B.; Mariani, S.
Low-order feature extraction technique and unsupervised learning for SHM under high-dimensional data
2019-01-01 Entezami, Alireza; Shariatmadar, H.; Mariani, S.
Non-parametric empirical machine learning for short-term and long-term structural health monitoring
2022-01-01 Entezami, A.; Shariatmadar, H.; De Michele, C.
A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling
2021-01-01 Entezami, Alireza; Sarmadi, Hassan; Salar, Masoud; De Michele, Carlo; Arslan, Ali Nadir
A novelty detection method for large-scale structures under varying environmental conditions
2019-01-01 Entezami, A.; Shariatmadar, H.; Mariani, S.
Structural Health Monitoring for Condition Assessment Using Efficient Supervised Learning Techniques
2019-01-01 Entezami, Alireza; Shariatmadar, Hashem; Mariani, Stefano
An Unsupervised Learning Approach for Early Damage Detection by Time Series Analysis and Deep Neural Network to Deal with Output-Only (Big) Data
2020-01-01 Entezami, Alireza; Sarmadi, Hassan; Mariani, Stefano