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PyHAT letter #238

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Jun 13, 2024
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PyHAT letter #238

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pyhat letter
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Update report_thesis/src/sections/appendix/index.tex
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1 change: 1 addition & 0 deletions report_thesis/src/_preamble.tex
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Expand Up @@ -20,6 +20,7 @@
\usepackage{enumitem}
\usepackage{hyperref}
\usepackage{placeins}
\usepackage{pdfpages}

\renewcommand{\topfraction}{.85}
\renewcommand{\bottomfraction}{.7}
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8 changes: 8 additions & 0 deletions report_thesis/src/sections/appendix/index.tex
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Expand Up @@ -232,3 +232,11 @@ \subsection{Overview of best performing model configurations}\label{subsec:best_
\input{sections/appendix/tables/CaO_overview.tex}
\input{sections/appendix/tables/Na2O_overview.tex}
\input{sections/appendix/tables/K2O_overview.tex}

\FloatBarrier

\subsection{PyHAT contribution certificate}\label{subsec:pyhat_contribution}
\begin{figure}
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\centering
\includepdf[pages=-, pagecommand={}, width=\textwidth]{sections/PyHAT_contribution_letter.pdf}
\end{figure}
5 changes: 5 additions & 0 deletions report_thesis/src/sections/pyhat_contribution.tex
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@@ -1,6 +1,7 @@
\section{PyHAT Contribution}\label{sec:pyhat_contribution}
As part of our work, we have made several contributions to \gls{pyhat}.
We describe these contributions here.

\gls{pyhat} offers a user-friendly interface designed for performing machine learning and data analysis tasks specifically for hyperspectral data.
Our collaboration was initiated through a series of discussions with two members from \gls{usgs} that are responsible for \gls{pyhat}, wherein we identified mutual challenges and opportunities for integrating our solutions into the tool.

Expand All @@ -27,3 +28,7 @@ \section{PyHAT Contribution}\label{sec:pyhat_contribution}

Finally, we made some contributions to improve the performance of various processes in \gls{pyhat}.
At the time of writing, all contributions have been demonstrated to work as intended to the two \gls{usgs} members responsible for managing \gls{pyhat} and are undergoing final review.

In recognition of our efforts, we received a formal letter of acknowledgment from the \gls{usgs}.
This letter acknowledges our contributions to \gls{pyhat} and highlights the positive impact our work has had on enhancing the tool's functionality and the field of chemometrics.
The acknowledgment letter is presented in Appendix~\ref{subsec:pyhat_contribution}.
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