Piervincenzo Rizzo

Orcid: 0000-0002-7159-2221

According to our database1, Piervincenzo Rizzo authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Case Studies about Finite Element Modeling and Wireless Sensing of Three Pennsylvania Bridges.
Sensors, March, 2024

2023
Highly Nonlinear Solitary Wave Transducers for Detecting Eye Pressure Changes.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

2022
Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis.
Sensors, 2022

Vibration-Based Approach to Measure Rail Stress: Modeling and First Field Test.
Sensors, 2022

2021
Challenges in Bridge Health Monitoring: A Review.
Sensors, 2021

2020
Wireless Module for Nondestructive Testing/Structural Health Monitoring Applications Based on Solitary Waves.
Sensors, 2020

2018
Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures.
Sensors, 2018

A possible new system for the non-invasive assessment of thermal stress in continuous welded rails.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2016
On the Reliability of a Solitary Wave Based Transducer to Determine the Characteristics of Some Materials.
Sensors, 2016

2014
Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering With Application to Indirect Bridge Structural Health Monitoring.
IEEE Trans. Signal Process., 2014

A Solitary Wave-Based Sensor to Monitor the Setting of Fresh Concrete.
Sensors, 2014

Empirical mode decomposition and neural network for the classification of electroretinographic data.
Medical Biol. Eng. Comput., 2014

Signal inpainting on graphs via total variation minimization.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
A Comparative Study on Three Different Transducers for the Measurement of Nonlinear Solitary Waves.
Sensors, 2013

Multiresolution classification with semi-supervised learning for indirect bridge structural health monitoring.
Proceedings of the IEEE International Conference on Acoustics, 2013


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