Preliminary Study of a Neural Network Procedure for the Timely Detection of the Collapse of Historical Cultural Heritage Structures-Reference-Cited by-同舟云学术

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Preliminary Study of a Neural Network Procedure for the Timely Detection of the Collapse of Historical Cultural Heritage Structures

Published:2022-05-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn)
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Author:

Wang Peixuan¹,Scuro Carmelo²,Demarco Francesco²,Carni Domenico Luca³,Lamonaca Francesco³,Ali Giuseppe²,Milani Gabriele¹

Affiliation:

1. Politecnico di Milano, 20133 Milano, Italy,Department of Architecture, Built Environment and Construction Engineering,Milano,Italy

2. University of Calabria,Physics Department,Rende,CS,Italy

3. University of Calabria,Department of Computer Science, Modeling, Electronics and Systems Engineering,Rende,CS,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826870/9826904/09826941.pdf?arnumber=9826941

Reference27 articles.

1. Improved Monitoring of Acoustic Emissions in Concrete Structures by Multi-Triggering and Adaptive Acquisition Time Interval;olivito;Measurement,2015

2. A Survey of Measurement Applications Based on IoT

3. A layered IoT-based architecture for a distributed structural health monitoring system System

4. Internet of Things (IoT) for masonry structural health monitoring (SHM): Overview and examples of innovative systems

5. Perovskite‐Induced Ultrasensitive and Highly Stable Humidity Sensor Systems Prepared by Aerosol Deposition at Room Temperature

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Damage detection and monitoring in heritage masonry structures: Systematic review;Construction and Building Materials;2023-09

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