Machine Learning for Structural Health Monitoring of Cultural Heritage

Informazioni relative al progetto

MLCULT

ID dell’accordo di sovvenzione: 101063722

DOI

10.3030/101063722

Progetto chiuso

Data della firma CE 5 Maggio 2022

Data di avvio 1 Luglio 2022

Data di completamento 30 Novembre 2024

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 172 618,56

Coordinato da

UNIVERSIDADE DO MINHO
Portugal

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (1)

Communication, Dissemination & Outreach Plan Description

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data sets, microdata, etc (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected processed or generated by the action It is a document describing what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preserved

Pubblicazioni

Peer reviewed articles (4)

Artificial intelligence-assisted visual inspection for cultural heritage: State-of-the-art review

Autori: Mayank Mishra, Paulo B. Lourenço
Pubblicato in: Journal of Cultural Heritage, 2024, ISSN 1778-3674
Editore: Elsevier
DOI: 10.1016/j.culher.2024.01.005

Internet of things (IoT)-based structural health monitoring of laboratory-scale civil engineering structures

Autori: T. Jothi Saravanan, Mayank Mishra, Abhishek Dilip Aherwar and Paulo B. Lourenço
Pubblicato in: Innovative Infrastructure Solutions, Numero 9, 2024, ISSN 2364-4184
Editore: Springer
DOI: 10.1007/s41062-024-01413-9

Automated Surface Crack Detection in Historical Constructions with Various Materials Using Deep Learning-Based YOLO Network

Autori: Narges Karimi, Mayank Mishra, Paulo B Lourenco
Pubblicato in: International Journal of Architectural Heritage, 2024, ISSN 1558-3058
Editore: Taylor and Francis
DOI: 10.1080/15583058.2024.2376177

Deep learning-based automated tile defect detection system for Portuguese cultural heritage buildings

Autori: Narges Karimi, Mayank Mishra, Paulo B. Lourenco
Pubblicato in: Journal of Cultural Heritage, 2024, ISSN 1778-3674
Editore: Elsevier
DOI: 10.1016/j.culher.2024.05.009