Assessment of Deep Learning algorithms for Damage Segmentation in Indian Murals

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Authors

Publication Details

Journal
International Journal of Arts and Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijart.2025.10072772
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
1.24
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article

Assessment of Deep Learning algorithms for Damage Segmentation in Indian Murals

Anshul Kumar Yadav, Dhiraj Sangwan, Ronit Kunkolienker
1 citations
International Journal of Arts and Technology
Industrial Vision Systems and Defect Detection
1.24
article

Assessment of Deep Learning algorithms for Damage Segmentation in Indian Murals

Anshul Kumar Yadav, Dhiraj Sangwan, Ronit Kunkolienker
article en
1 citations

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Arts and TechnologyVol. 15(4)
Sustainable cities and communities
Openalex Percentile: Top 17%
Industrial Vision Systems and Defect Detection
1.24
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Assessment of Deep Learning algorithms for Damage Segmentation in Indian Murals — Anshul Kumar Yadav, Dhiraj Sangwan, et al. · International Journal of Arts and Technology (2025) | TGRS Research Map | TGRS