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May 20, 2026Journal of Cultural Heritage Management and Sustainable Development

Sustainable artificial intelligence for historic building components classification: a case of UNESCO world heritage site in Congonhas, Brazil

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Authors

AOAndré Luiz Carvalho OttoniLOLara Toledo Cordeiro Ottoni

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Overview

Randomized trial explores sustainable AI methods for classifying historic building components, highlighting energy efficiency benefits.

Key Points

  • This study aims to develop a sustainable AI approach for classifying historic building components in UNESCO World Heritage Sites.
  • Data collection through photographs of cultural heritage buildings.
  • Organization of datasets for training, validation, and testing.
  • Simulation and real-world testing of six deep learning models and assessment of their energy efficiency.
  • MobileNet and MobileNetV2 showed significant energy efficiency in training AI models.
  • Achieved accuracy levels comparable to traditional energy-intensive models.
  • Demonstrated feasibility of sustainable AI in real-world settings for historic building classification.

Cite This Study

Ottoni et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5100f03e14405aa9d3a0https://doi.org/10.1108/jchmsd-05-2025-0145
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