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feat(latex): add theoretical foundations and classification algorithms for damage localization in english version

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2025-05-15 08:30:45 +07:00
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\chapter{LITERATURE REVIEW AND THEORITICAL FOUNDATION}
\section{Literature Review}
\input{chapters/id/02_literature_review/literature_review/abdeljaber2017}
\section{Theoritical Foundation}
\input{chapters/id/02_literature_review/theoritical_foundation/stft}
\input{chapters/id/02_literature_review/theoritical_foundation/machine_learning}
\bigskip
These theoretical foundations provide the methodological framework for implementing and evaluating the proposed damage localization system in this research. The combination of time-frequency analysis using STFT and classical machine learning classifiers enables an efficient and interpretable approach to structural health monitoring.