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Applied Sciences
Special Issues
Advanced Technologies in Cultural Heritage
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Advanced Technologies in Cultural Heritage

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 1369

Special Issue Editors

Dr. Alan Wecker

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Guest Editor
Information Systems Department, Faculty of Social Sciences, University of Haifa, Haifa 3498838, Israel
Interests: cultural heritage
Dr. Fabrizio Terenzio Gizzi

E-Mail Website1 Website2
Guest Editor
Institute of Heritage Science, National Research Council (ISPC-CNR), Area Della Ricerca, C.da S. Loja, Tito, 85050 Potenza, Italy
Interests: natural hazards; historical seismicity; historical floods; historical landslides; disaster response; natural hazard insurance; natural hazards and cultural heritage; heritage science; bibliometrics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ion Sandu

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Guest Editor
Science Department, Interdisciplinary Research Institute, Alexandru Ioan Cuza University of Iasi, 22 Carol I Blv., 700506 Iasi, Romania
Interests: cultural heritage; environmental protection; forensic science; materials science and engineering; scientific investigation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The field of cultural heritage lends itself to the use of advanced and novel technologies. This is due to a variety of reasons, whether it be based on leisure time or school educational visits to cultural heritage sites. Following the COVID pandemic, cultural heritage sites and museums have had to reinvent themselves in order to become more relevant to the general public. To accomplish this reinvention, many cultural heritage sites have turned to technology. We are interested in publishing a volume concerning the latest advances within this field.

Topics of interest include, but are not limited to, the following topics:

  • Use of AI
  • AR/VR and mixed reality
  • Location-based services
  • Social applications
  • Social media
  • User modeling
  • Recommendation systems
  • Eye tracking
  • Systems for depolarization
  • Speech technology
  • Web technologies
  • Remote visits
  • Wearable devices

Dr. Alan Wecker
Dr. Fabrizio Terenzio Gizzi
Prof. Dr. Ion Sandu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • virtual reality
  • data mining
  • artificial intelligence
  • augmented reality
  • mixed reality
  • data exploitation
  • cultural heritage
  • historical artefacts
  • archaeometry
  • archeology
  • architectural monuments
  • conservation state
  • degradation
  • deterioration
  • preservation
  • restauration
  • scientific investigation
  • compatibility
  • feasibility
  • authentication
  • patrimonial evaluation
  • valorization
  • museums
  • nanomaterials
  • cleaning
  • consolidation
  • coatings
  • protective layers/protective films
  • binders
  • pigments
  • alloys
  • ceramics
  • stone
  • glass
  • wood
  • composites materials
  • easel paintings
  • wall paintings
  • statues
  • mosaics
  • stained glass
  • textiles
  • skin
  • parchment
  • paper (cellulosic support)
  • natural and synthetic polymers, concrete
  • mortar

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Published Papers (2 papers)

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16 pages, 3790 KiB  
Article
Mechanical Behavior of Low-Strength Hydraulic Lime Concrete Reinforced with Flexible Fibers under Quasi-Static and Dynamic Conditions
by Ángel De La Rosa, Lucía Garijo, Vaibhav W. Masih and Gonzalo Ruiz
Appl. Sci. 2024, 14(14), 6364; https://doi.org/10.3390/app14146364 - 22 Jul 2024
Viewed by 393
Abstract
We investigate the effect of flexible fiber reinforcement on low-strength hydraulic lime concrete. This type of concrete is occasionally necessary to ensure compatibility with the substrate, particularly in the conservation and rehabilitation of historical heritage. For this purpose, we designed a matrix of [...] Read more.
We investigate the effect of flexible fiber reinforcement on low-strength hydraulic lime concrete. This type of concrete is occasionally necessary to ensure compatibility with the substrate, particularly in the conservation and rehabilitation of historical heritage. For this purpose, we designed a matrix of hydraulic lime concrete based on a mix design method we proposed previously and added different amounts of polyvinyl alcohol fiber (volumetric contents of 0.3%, 0.6%, 0.9%, and 1.2%). We then conducted three-point bending tests on prismatic specimens with a central notch under quasi-static (displacement rate of 4 × 10−4 mm/s) and dynamic (4 mm/s) conditions, using a servo-hydraulic machine. The results indicate that, in both quasi-static and dynamic regimes, the flexural strength, the residual flexural strengths for different crack openings, and the work of fracture increase as the fiber content increases. Furthermore, transitioning from one regime to another (by increasing the strain rate or velocity) leads to a significant increase in these mechanical parameters. Full article
(This article belongs to the Special Issue Advanced Technologies in Cultural Heritage)
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Review

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24 pages, 3195 KiB  
Review
Historic Built Environment Assessment and Management by Deep Learning Techniques: A Scoping Review
by Valeria Giannuzzi and Fabio Fatiguso
Appl. Sci. 2024, 14(16), 7116; https://doi.org/10.3390/app14167116 - 13 Aug 2024
Viewed by 419
Abstract
Recent advancements in digital technologies and automated analysis techniques applied to Historic Built Environment (HBE) demonstrate significant advantages in efficiently collecting and interpreting data for building conservation activities. Integrating digital image processing through Artificial Intelligence approaches further streamlines data analysis for diagnostic assessments. [...] Read more.
Recent advancements in digital technologies and automated analysis techniques applied to Historic Built Environment (HBE) demonstrate significant advantages in efficiently collecting and interpreting data for building conservation activities. Integrating digital image processing through Artificial Intelligence approaches further streamlines data analysis for diagnostic assessments. In this context, this paper presents a scoping review based on Scopus and Web of Science databases, following the PRISMA protocol, focusing on applying Deep Learning (DL) architectures for image-based classification of decay phenomena in the HBE, aiming to explore potential implementations in decision support system. From the literature screening process, 29 selected articles were analyzed according to methods for identifying buildings’ surface deterioration, cracks, and post-disaster damage at a district scale, with a particular focus on the innovative DL architectures developed, the accuracy of results obtained, and the classification methods adopted to understand limitations and strengths. The results highlight current research trends and the potential of DL approaches for diagnostic purposes in the built heritage conservation field, evaluating methods and tools for data acquisition and real-time monitoring, and emphasizing the advantages of implementing the adopted techniques in interoperable environments for information sharing among stakeholders. Future challenges involve implementing DL models in mobile apps, using sensors and IoT systems for on-site defect detection and long-term monitoring, integrating multimodal data from non-destructive inspection techniques, and establishing direct connections between data, intervention strategies, timing, and costs, thereby improving heritage diagnosis and management practices. Full article
(This article belongs to the Special Issue Advanced Technologies in Cultural Heritage)
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