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Author response of: Comparative review of recent developments in archaeological predictive models and automatic structure detection. Round#2

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Review highlights advances in archaeological predictive models and automatic structure detection, suggesting future research directions.

To summarize and evaluate recent advances in archaeological predictive models and automatic structure detection.
Reviewed current literature on archaeological predictive models and automatic structure detection.
Analyzed various algorithmic approaches used in recent studies.
Identified gaps and future directions in predictive modeling techniques.
Highlighted significant improvements in predictive accuracy due to new algorithms.
Pointed out the integration of machine learning techniques in structure detection.
Outlined areas needing further research to enhance model reliability.

Bellat et al. (2026) studied this question.

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View Full Paper

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Authors

Review highlights advances in archaeological predictive models and automatic structure detection, suggesting future research directions.

To summarize and evaluate recent advances in archaeological predictive models and automatic structure detection.
Reviewed current literature on archaeological predictive models and automatic structure detection.
Analyzed various algorithmic approaches used in recent studies.
Identified gaps and future directions in predictive modeling techniques.
Highlighted significant improvements in predictive accuracy due to new algorithms.
Pointed out the integration of machine learning techniques in structure detection.
Outlined areas needing further research to enhance model reliability.

Bellat et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark