Machine Learning for Structural Health Monitoring of Cultural Heritage

Project Information

MLCULT

Grant agreement ID: 101063722

DOI

10.3030/101063722

Project closed

EC signature date 5 May 2022

Start date 1 July 2022

End date 30 November 2024

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 172 618,56

Coordinated by

UNIVERSIDADE DO MINHO
Portugal

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Publications

Peer reviewed articles (4)

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

Author(s): Mayank Mishra, Paulo B. Lourenço
Published in: Journal of Cultural Heritage, 2024, ISSN 1778-3674
Publisher: Elsevier
DOI: 10.1016/j.culher.2024.01.005

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

Author(s): T. Jothi Saravanan, Mayank Mishra, Abhishek Dilip Aherwar and Paulo B. Lourenço
Published in: Innovative Infrastructure Solutions, Issue 9, 2024, ISSN 2364-4184
Publisher: Springer
DOI: 10.1007/s41062-024-01413-9

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

Author(s): Narges Karimi, Mayank Mishra, Paulo B Lourenco
Published in: International Journal of Architectural Heritage, 2024, ISSN 1558-3058
Publisher: Taylor and Francis
DOI: 10.1080/15583058.2024.2376177

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

Author(s): Narges Karimi, Mayank Mishra, Paulo B. Lourenco
Published in: Journal of Cultural Heritage, 2024, ISSN 1778-3674
Publisher: Elsevier
DOI: 10.1016/j.culher.2024.05.009