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### Deep Learning Pose Estimation.
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Tracking animal behavior noninvasively is crucial for many scientific fields. Extracting animal poses without markers is essential in biomechanics, genetics, ethology, and neuroscience but challenging in dynamic backgrounds. Contributors: Adrian Girone, Nick Ferrante.
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Tracking animal behavior noninvasively is crucial for many scientific fields. Extracting animal poses without markers is essential in biomechanics, genetics, ethology, and neuroscience but challenging in dynamic backgrounds. **Contributors: Adrian Girone, Nick Ferrante.**
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* [**Poster**](S2025_PoseEstimation/iShowcase_Pose_Estimation_DL.pdf)
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* [**GitHub Repo**](https://github.com/INFO-698-InfoSci-Capstone/pose-estimation-dl/wiki)
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### Analyzing how effective the 2023 rule changes were to MLB viewership & attendance.
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The project analyzes MLB attendance data (2001-2024) to assess how 2023 rule changes affected fan engagement, excluding pandemic-affected 2020-2021 seasons due to attendance restriction. Contributors: Alvaro Borbon, Alec Fernandez, and Marissa Ronquillo.
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The project analyzes MLB attendance data (2001-2024) to assess how 2023 rule changes affected fan engagement, excluding pandemic-affected 2020-2021 seasons due to attendance restriction. **Contributors: Alvaro Borbon, Alec Fernandez, and Marissa Ronquillo.**
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* [**Poster**](S2025_MLB/MLB_Poster_V3.png)
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* [**Report**](S2025_MLB/ISTA_498_MLB Research_Paper.pdf)

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