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Titolo Data di pubblicazione Autore(i) File
A novelty detection method for large-scale structures under varying environmental conditions 1-gen-2019 A. EntezamiS. Mariani +
Low-order feature extraction technique and unsupervised learning for SHM under high-dimensional data 1-gen-2019 ENTEZAMI, ALIREZAS. Mariani +
Structural Health Monitoring for Condition Assessment Using Efficient Supervised Learning Techniques 1-gen-2019 Entezami, AlirezaMariani, Stefano +
An Unsupervised Learning Approach for Early Damage Detection by Time Series Analysis and Deep Neural Network to Deal with Output-Only (Big) Data 1-gen-2020 Entezami, AlirezaMariani, Stefano +
Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks 1-gen-2020 Entezami A.Mariani S. +
Big data analytics and structural health monitoring: A statistical pattern recognition-based approach 1-gen-2020 Entezami A.Mariani S. +
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection 1-gen-2020 Entezami A.Mariani S. +
Early Damage Detection for Partially Observed Structures with an Autoregressive Spectrum and Distance-Based Methodology 1-gen-2021 Entezami, AlirezaMariani, Stefano
Bridge health monitoring in environmental variability by new clustering and threshold estimation methods 1-gen-2021 Entezami A.Salar M.De Michele C. +
Health monitoring of large‐scale civil structures: An approach based on data partitioning and classical multidimensional scaling 1-gen-2021 Entezami A.Mariani S. +
A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling 1-gen-2021 Entezami, AlirezaSalar, MasoudDe Michele, Carlo +
Non-parametric empirical machine learning for short-term and long-term structural health monitoring 1-gen-2022 Entezami A.De Michele C. +
Mostrati risultati da 1 a 12 di 12
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