Articles with public access mandates - Matteo PozziLearn more
Not available anywhere: 3
Fusion of monitoring data from cable-stayed bridge
F Bruschetta, D Zonta, C Cappello, R Zandonini, M Pozzi, B Glisic, ...
2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems …, 2013
Mandates: Government of Italy
On estimating the accuracy of monitoring methods using Bayesian error propagation technique
D Zonta, F Bruschetta, C Cappello, R Zandonini, M Pozzi, M Wang, ...
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2014
Mandates: Government of Italy
Decision-making in SHM systems for asset management
M Pozzi
Sensor Technologies for Civil Infrastructures, 609-641, 2022
Mandates: US National Science Foundation
Available somewhere: 30
Value of information: A roadmap to quantifying the benefit of structural health monitoring
D Straub, E Chatzi, E Bismut, W Courage, M Döhler, MH Faber, J Köhler, ...
ICOSSAR-12th international conference on structural safety & reliability, 2017
Mandates: European Commission
Value-of-information in spatio-temporal systems: Sensor placement and scheduling
C Malings, M Pozzi
Reliability Engineering & System Safety 172, 45-57, 2018
Mandates: US National Science Foundation
Model-free reinforcement learning with model-based safe exploration: Optimizing adaptive recovery process of infrastructure systems
M Memarzadeh, M Pozzi
Structural Safety 80, 46-55, 2019
Mandates: US National Science Foundation
Impact of prior perception on bridge health diagnosis
C Cappello, D Zonta, M Pozzi, B Glisic, R Zandonini
Journal of Civil Structural Health Monitoring 5, 509-525, 2015
Mandates: Government of Italy
Hidden-model processes for adaptive management under uncertain climate change
M Pozzi, M Memarzadeh, K Klima
Journal of Infrastructure Systems 23 (4), 04017022, 2017
Mandates: US National Science Foundation
Submodularity issues in value-of-information-based sensor placement
C Malings, M Pozzi
Reliability Engineering & System Safety 183, 93-103, 2019
Mandates: US National Science Foundation
What makes long-term monitoring convenient? A parametric analysis of value of information in infrastructure maintenance
S Li, M Pozzi
Structural Control and Health Monitoring 26 (5), e2329, 2019
Mandates: US National Science Foundation
Surface heat assessment for developed environments: Probabilistic urban temperature modeling
C Malings, M Pozzi, K Klima, M Bergés, E Bou-Zeid, P Ramamurthy
Computers, Environment and Urban Systems 66, 53-64, 2017
Mandates: US National Science Foundation
Surface heat assessment for developed environments: Optimizing urban temperature monitoring
C Malings, M Pozzi, K Klima, M Bergés, E Bou-Zeid, P Ramamurthy
Building and Environment 141, 143–154, 2018
Mandates: US National Science Foundation
Optimal inspection of binary systems via value of information analysis
C Lin, J Song, M Pozzi
Reliability Engineering & System Safety 217, 107944, 2022
Mandates: US National Science Foundation
Information avoidance and overvaluation under epistemic constraints: Principles and implications for regulatory policies
M Pozzi, C Malings, A Minca
Reliability Engineering & System Safety 197, 106814, 2020
Mandates: US National Science Foundation
Short-term probabilistic forecasting of meso-scale near-surface urban temperature fields
B Choi, M Bergés, E Bou-Zeid, M Pozzi
Environmental Modelling & Software 145, 105189, 2021
Mandates: US National Science Foundation
Negative value of information in systems’ maintenance
M Pozzi, C Malings, AC Minca
ICOSSAR, 12th International Conference on Structural Safety and Reliability, 2017
Mandates: US National Science Foundation
Sensor fusion on structural monitoring data analysis: application to a cable-stayed bridge
D Zonta, F Bruschetta, R Zandonini, M Pozzi, M Wang, B Glisic, D Inaudi, ...
Key Engineering Materials 569, 812-819, 2013
Mandates: Government of Italy
Probabilistic framework for assessing maximum structural response based on sensor measurements
I Tien, M Pozzi, A Der Kiureghian
Structural Safety 61, 43-56, 2016
Mandates: US National Science Foundation
Energetic formulation of large‐deformation poroelasticity
M Karimi, M Massoudi, N Walkington, M Pozzi, K Dayal
International Journal for Numerical and Analytical Methods in Geomechanics …, 2022
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Gaussian process regression and classification for probabilistic damage assessment of spatially distributed systems
M Pozzi, Q Wang
KSCE Journal of Civil Engineering 22 (3), 1016-1026, 2018
Mandates: US National Science Foundation
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