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Antonietta Varasano

Biographic Data

ID6942445
NAMEAntonietta Varasano
GIVEN NAMESAntonietta
FAMILY NAMEVarasano
SIGNATUREVARASANO A
AFFILIATIONSConstruction Technologies Institute
ORCID0000-0003-4173-5241
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale

    Open Access•Sliman Hitouri, Antonietta Varasano et al.•ARTICLE•ISPRS International Journal of…•2022

    Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own benefit and from our own actions is a must for guaranteeing the long-term viability of a variety of ecosystem services. As a result, developing gully erosion susceptibility maps (GESM) is both suggested and necessary. In this study, we compared the effectiveness of three hybrid machine learning (ML) algorithms with the…

  • A Virtual Space Built on a Canvas Painting for an “Augmented” Experience to Catch the Artist’s Message

    Open Access•Salvatore Capotorto, Maria Lepore et al.•ARTICLE•ISPRS International Journal of…•2021

    “Entering” a canvas to examine and learn about the work from unexplored points of view is an experiential “journey” in an environment reconstructed through the use and integration of innovative technologies, such as descriptive geometry and digital photogrammetry, solid modeling and immersive photography. Generating a “sense of presence” in the viewer means connecting it with immediacy to the artist’s message and grasping even the most subtle ele…

  • A “Smartly Functional” Urban 3D Model

    Open Access•Antonietta Varasano, Maria Lepore et al.•ARTICLE•Heritage•2021•References: 4

    The 3D model is the primary information of an integrated support system for the assessment of structural safety under vertical loads and seismic vulnerability of a masonry building. The available approaches for evaluating seismic demand and capacity still appear inadequate and today aims to improve the process of knowledge of the seismic behavior of masonry structures and of the reliability of the numerical analysis of evaluation methods. Discret…

No prominent works on this page.

  • A Virtual Space Built on a Canvas Painting for an “Augmented” Experience to Catch the Artist’s Message

    Open Access•Salvatore Capotorto, Maria Lepore et al.•ARTICLE•ISPRS International Journal of…•2021

    “Entering” a canvas to examine and learn about the work from unexplored points of view is an experiential “journey” in an environment reconstructed through the use and integration of innovative technologies, such as descriptive geometry and digital photogrammetry, solid modeling and immersive photography. Generating a “sense of presence” in the viewer means connecting it with immediacy to the artist’s message and grasping even the most subtle ele…

  • A “Smartly Functional” Urban 3D Model

    Open Access•Antonietta Varasano, Maria Lepore et al.•ARTICLE•Heritage•2021•References: 4

    The 3D model is the primary information of an integrated support system for the assessment of structural safety under vertical loads and seismic vulnerability of a masonry building. The available approaches for evaluating seismic demand and capacity still appear inadequate and today aims to improve the process of knowledge of the seismic behavior of masonry structures and of the reliability of the numerical analysis of evaluation methods. Discret…

  • Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale

    Open Access•Sliman Hitouri, Antonietta Varasano et al.•ARTICLE•ISPRS International Journal of…•2022

    Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own benefit and from our own actions is a must for guaranteeing the long-term viability of a variety of ecosystem services. As a result, developing gully erosion susceptibility maps (GESM) is both suggested and necessary. In this study, we compared the effectiveness of three hybrid machine learning (ML) algorithms with the…

Computer Science (3 works) · 3D Surveying and Cultural Heritage (2 works) · Aesthetics (1 work) · Art (1 work) · BIM and Construction Integration (1 work) · Civil engineering (1 work) · Computer security (1 work) · Construction engineering (1 work) · Digital elevation model (1 work) · Ditch (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae