ENTEZAMI, ALIREZA

ENTEZAMI, ALIREZA  

DIPARTIMENTO DI INGEGNERIA CIVILE E AMBIENTALE  

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Titolo Data di pubblicazione Autori File
A Comparative Study on Structural Displacement Prediction by Kernelized Regressors under Limited Training Data 1-gen-2023 Entezami, AlirezaBehkamal, BaharehDe Michele, CarloMariani, Stefano
A hybrid sensitivity function and Lanczos bidiagonalization-Tikhonov method for structural model updating: Application to a full-scale bridge structure 1-gen-2021 Entezami A. +
A Multi-stage Machine Learning Methodology for Health Monitoring of Largely Unobserved Structures Under Varying Environmental Conditions 1-gen-2023 Entezami A.Mariani S. +
A new iterative model updating technique based on least squares minimal residual method using measured modal data 1-gen-2016 Entezami A. +
A Non-Parametric Mixed Learning Technique for Mitigating Environmental Effects on Structural Modal Frequencies 1-gen-2023 ENTEZAMI, ALIREZAMARIANI, STEFANO
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 +
A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns 1-gen-2023 Entezami, ABehkamal, B +
A novelty detection method for large-scale structures under varying environmental conditions 1-gen-2019 A. EntezamiS. Mariani +
A Parsimonious Yet Robust Regression Model for Predicting Limited Structural Responses of Remote Sensing 1-gen-2023 Entezami, AlirezaBehkamal, BaharehDe Michele, CarloMariani, Stefano
A sensitivity-based finite element model updating based on unconstrained optimization problem and regularized solution methods 1-gen-2020 Entezami A. +
AI-assisted generative workflow for the early-stage design of sustainable tall buildings based on their structural behaviour 1-gen-2023 Pooyan KazemiAldo GhisiAlireza EntezamiStefano Mariani
An innovative hybrid strategy for structural health monitoring by modal flexibility and clustering methods 1-gen-2020 Entezami, A. +
An iterative order determination method for time-series modeling in structural health monitoring 1-gen-2018 Entezami A. +
An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification 1-gen-2018 Entezami A. +
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 +
Application of supervised learning to validation of damage detection 1-gen-2021 Entezami A. +
Big data analytics and structural health monitoring: A statistical pattern recognition-based approach 1-gen-2020 Entezami A.Mariani S. +
Bridge collapse prediction by small displacement data from satellite images under long-term monitoring 1-gen-2022 A. EntezamiC. De Michele +
Bridge health monitoring in environmental variability by new clustering and threshold estimation methods 1-gen-2021 Entezami A.Salar M.De Michele C. +
Condition Assessment of Civil Structures for Structural Health Monitoring Using Supervised Learning Classification Methods 1-gen-2020 Entezami A. +