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Hina Zulifiqar

Datos Biográficos

ID8965142
NOMBREHina Zulifiqar
NOMBRESHina
APELLIDOZulifiqar
FIRMAZULIFIQAR H
AFILIACIONESGovernment Sadiq College Women University
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2026
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Generative AI for digital color restoration in archaeology

    Open Access•Muhammad Nouman Akhtar, Saverio Iacono et al.•ARTICLE•Digital Applications in…•2026

    Color plays a crucial role in understanding the materiality, symbolism, and aesthetic identity of ancient artifacts. However, centuries of degradation have caused irreversible pigment loss in archaeological collections, limiting both scholarly interpretation and public appreciation. This study introduces a novel framework that employs Generative Artificial Intelligence (AI) to digitally reconstruct lost pigments in Harappan artifacts, one of the …

Sin obras prominentes en esta página.

  • Generative AI for digital color restoration in archaeology

    Open Access•Muhammad Nouman Akhtar, Saverio Iacono et al.•ARTICLE•Digital Applications in…•2026

    Color plays a crucial role in understanding the materiality, symbolism, and aesthetic identity of ancient artifacts. However, centuries of degradation have caused irreversible pigment loss in archaeological collections, limiting both scholarly interpretation and public appreciation. This study introduces a novel framework that employs Generative Artificial Intelligence (AI) to digitally reconstruct lost pigments in Harappan artifacts, one of the …

Aesthetic Perception and Analysis (1 obra) · Civilization (1 obra) · Color analysis (1 obra) · Cultural Heritage Materials Analysis (1 obra) · Generative grammar (1 obra) · Image Processing and 3D Reconstruction (1 obra) · Image restoration (1 obra) · Industrial civilization (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae