92fd3acd05
* feat(latex): initialize new structure for methodology chapter * feat(latex): initialize sections for methodology chapter including data analysis, materials, and steps * feat(latex): add detailed description and structure for materials section in methodology chapter * fix(latex): correct section title from "Bahan dan Materi" to "Benda Uji" to give more context about the thesis Closes #71 * feat(latex): add section for tools in methodology chapter * feat(latex): initialize methodology steps with overall clue descriptions of research phases * feat(latex): add specimen diagram with sensor notation for data representation in methodology chapter * feat(latex): add diagram for joint and sensors placement in methodology chapter * feat(latex): update dataset figure and add specimen image in methodology chapter * feat(latex): expand data analysis section in methodology chapter * fix(latex): fix citation format for secondary data source in methodology chapter * feat(latex): add data acquisition section with dataset details and sampling information * fix(latex): update input paths in methodology chapter for correct file referencing * feat(latex): add hardware and software sections with detailed descriptions and components used in the research * Update latex/chapters/id/03_methodology/tool/hardware.tex fix(latex): Fix figure reference Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update latex/chapters/id/03_methodology/steps/index.tex chore: remove double slash of image path Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update latex/chapters/id/03_methodology/data_analysis/index.tex fix(latex): Fix typo Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: nuluh <dam.ar@outlook.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Summary
This repository contains the work related to my thesis, which focuses on damage localization prediction. The research explores the application of machine learning techniques to structural health monitoring.
Note: This repository does not contain the secondary data used in the analysis. The code is designed to work with data from the QUGS (Qatar University Grandstand Simulator) dataset, which is not included here.
The repository is private and access is restricted only to those who have been given explicit permission by the owner. Access is provided solely for the purpose of brief review or seeking technical guidance.
Restrictions
- No Derivative Works or Cloning: Any form of copying, cloning, or creating derivative works based on this repository is strictly prohibited.
- Limited Access: Use beyond brief review or collaboration is not allowed without prior permission from the owner.
All contents of this repository, including the thesis idea, code, and associated data, are copyrighted © 2024 by Rifqi Panuluh. Unauthorized use or duplication is prohibited.