10 lines
685 B
TeX
10 lines
685 B
TeX
\chapter{LITERATURE REVIEW AND THEORITICAL FOUNDATION}
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\section{Literature Review}
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\input{chapters/id/02_literature_review/literature_review/abdeljaber2017}
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\section{Theoritical Foundation}
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\input{chapters/id/02_literature_review/theoritical_foundation/stft}
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\input{chapters/id/02_literature_review/theoritical_foundation/machine_learning}
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\bigskip
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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. |