Arianna Traviglia

ORCID: 0000-0002-4508-1540
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About
Contact & Profiles
Research Areas
  • Archaeological Research and Protection
  • Cultural Heritage Materials Analysis
  • Conservation Techniques and Studies
  • 3D Surveying and Cultural Heritage
  • Building materials and conservation
  • Image Processing and 3D Reconstruction
  • Maritime and Coastal Archaeology
  • Ancient Mediterranean Archaeology and History
  • Terahertz technology and applications
  • Handwritten Text Recognition Techniques
  • Remote-Sensing Image Classification
  • Remote Sensing and LiDAR Applications
  • Archaeology and ancient environmental studies
  • Thermography and Photoacoustic Techniques
  • Medieval Architecture and Archaeology
  • Image and Object Detection Techniques
  • Archaeological and Historical Studies
  • Geochemistry and Geologic Mapping
  • Natural Language Processing Techniques
  • Crime, Illicit Activities, and Governance
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Glass properties and applications
  • Classical Antiquity Studies
  • Historical and Architectural Studies

Center for Cultural Heritage Technology
2020-2025

Italian Institute of Technology
2020-2025

Epsilon (Italy)
2023-2024

Ca' Foscari University of Venice
2009-2024

Cardiff University
2024

University of Helsinki
2024

Humanitas University
2022

Stockholm University
2022

Macquarie University
2010-2011

The University of Sydney
2011

The application of Machine Learning (ML) to Cultural Heritage (CH) has evolved since basic statistical approaches such as Linear Regression complex Deep models. question remains how much this actively improves on the underlying algorithm versus using it within a 'black box' setting. We survey across ML and CH literature identify theoretical changes which contribute in turn them suitable for applications. Alternatively, most commonly, when there are no changes, we review applications,...

10.1016/j.patrec.2020.02.017 article EN cc-by Pattern Recognition Letters 2020-02-17

Abstract Cultural heritage faces recurring degradation processes and natural aging phenomena, demanding the envisioning of innovative preservation solutions inspired by cutting‐edge scientific research. Over extended time frames, current strategies often prove inadequate in preserving different constituent materials cultural assets, which are thus threatened their inherent fragility complex interactions with surrounding environment. The distinctive properties graphene graphene‐related (GRMs)...

10.1002/adfm.202313043 article EN cc-by-nc-nd Advanced Functional Materials 2024-01-08

In the last decades, interest in development of protective coatings for movable and immovable Cultural Heritage (CH) assets has decidedly increased. This been mainly prompted by raising consciousness on preservation requirements cultural artefacts monuments, which consequently determined new products. From acrylic resins used at end century to up-to-date biomaterials nanoparticles employed nowadays, research made a giant step forward. article reviews progresses, technical challenges, most...

10.3390/coatings10030217 article EN Coatings 2020-02-29

This research combines 3D and surface methods on corroded glass, shedding light perfectly preserved alteration structures corrosion processes across scales.

10.1039/d3cp05221d article EN cc-by-nc Physical Chemistry Chemical Physics 2024-01-01

Automated detection of landscape patterns on Remote Sensing imagery has seen virtually little or no development in the archaeological domain, notwithstanding fact that large portion cultural landscapes worldwide are characterized by land engineering applications. The current extraordinary availability remotely sensed images makes it now urgent to envision and develop automatic methods can simplify their inspection extraction relevant information from them, as quantity is longer manageable...

10.3390/geosciences7040128 article EN cc-by Geosciences 2017-12-11

Machine Learning-based workflows are being progressively used for the automatic detection of archaeological objects (intended as below-surface sites) in remote sensing data. Despite promising results phase, there is still a lack standard set measures to evaluate performance object methods, since buried sites often have distinctive shapes that them aside from other types included mainstream datasets (e.g., Dataset Object deTection Aerial images, DOTA). Additionally, research relies heavily on...

10.3390/rs14071694 article EN cc-by Remote Sensing 2022-03-31

Abstract Historical paper documents are susceptible to complex degradation processes, including biodeterioration, which can progressively compromise their aesthetic and structural integrity. This study analyses seventeenth century handwritten historical letters stored at the Correr Museum Library in Venice, Italy, exhibiting pronounced signs of biodeterioration. The techniques used encompassed traditional colony isolation on agar plates proteomics analyses, employing nanoscale liquid...

10.1038/s41598-024-57228-2 article EN cc-by Scientific Reports 2024-03-25

Abstract This research represents the most extensive characterisation of Roman mosaic tesserae (tiles) from Aquileia, Italy, to date, examining 153 specimens. The study aimed identify lithotypes used in mosaics production through a multi‐analytical approach, which included colorimetric analysis, polarised light microscopy and scanning electron microscopy. results showcase variety materials, particularly limestone sourced Italian Slovenian Karst regions, as well colourful lithic materials...

10.1111/arcm.13082 article EN cc-by Archaeometry 2025-04-02

Ancient glass objects typically show distinctive effects of deterioration as a result environmentally induced physicochemical transformations their surface over time. Iridescence is one the signatures aging that most commonly found on excavated glass. In this work, we present an ancient fragment exhibits structural color through weathering resulting in iridescent patinas caused by silica reprecipitation nanoscale lamellae. This archaeological artifact reveals unusual hierarchically assembled...

10.1073/pnas.2311583120 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2023-09-18

“Tells” are archaeological mounds formed by deposition of large amounts anthropogenic material and sediments over thousands years the most important prominent features in Near Middle Eastern landscapes. In last decade, archaeologists have exploited free-access global digital elevation model (DEM) datasets at medium resolution (i.e., up to 30 m) map tells on a supra-regional scale pinpoint tentative tell sites. Instead, potential satellite DEMs higher for this task was yet be demonstrated. To...

10.3390/rs13163106 article EN cc-by Remote Sensing 2021-08-06

The increasing need of restoring high-resolution hyper-spectral (HS) images is determining a growing reliance on computer vision-based processing to enhance the clarity image content. HS can, in fact, suffer from degradation effects or artefacts caused by instrument limitations. This article focuses procedure aimed at reducing effects, frequency-dependent blur and noise, Terahertz time-domain spectroscopy (THz-TDS) reflection geometry. It describes application joint deblurring denoising...

10.1109/tthz.2022.3196191 article EN cc-by IEEE Transactions on Terahertz Science and Technology 2022-08-03

Abstract. Preserving historical archival heritage involves not only physical measures to safeguard these valuable texts but also providing for their digital preservation. However, merely digitising manuscripts and codexes is enough. A further step needed: the digitalisation of content, i.e. verbatim transcription scanned texts. This process enables accurate preservation textual making it easier search information conduct analyses. With help artificial intelligence, particularly Deep Neural...

10.5194/isprs-archives-xlviii-m-2-2023-557-2023 article EN cc-by ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences 2023-06-24

Abstract Handwritten text recognition, i.e., the conversion of scanned handwritten documents into machine-readable text, is a complex exercise due to variability and complexity handwriting. A common approach in recognition consists feature extraction step followed by recognizer. In this paper, we propose novel DNN architecture for that extracts discrete representation from input text-line image. The proposed model constructed an encoder–decoder network with added quantization layer which...

10.1007/s00521-023-08445-9 article EN cc-by Neural Computing and Applications 2023-04-18

This work presents the formulation and characterization of a new product for protection outdoor frescoes from aggressive environmental agents. The is designed as an innovative green coating, prepared through zero-waste one-pot-synthetic method to form silver nanoparticles (AgNPs) directly in chitosan-based medium. AgNPs are seeded grown mixed hydrogel chitosan, azelaic, lactic acid, by reduction nitrate, using calcium hydroxide precipitating agent. rheological properties this coating base...

10.3390/coatings13020277 article EN Coatings 2023-01-26

Optimizing the LA-ICP-MS procedure to obtain 2D and 3D high-resolution multi-elemental imaging of heavily degraded Roman glass for studying weathering mechanisms by monitoring lateral in-depth distribution elements.

10.1039/d2ja00337f article EN cc-by Journal of Analytical Atomic Spectrometry 2023-01-01
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