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further work on results

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Alex Blank
2025-07-29 10:26:45 +00:00
parent 918c7f8fa9
commit d80a3a5374
33 changed files with 31 additions and 23 deletions
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thesis/sections/methodology.tex
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@@ -138,7 +138,7 @@ Except for \textit{time since cycle start}, all features are encoded using sine
\begin{figure}[htbp]
\centering
\includegraphics[width=0.9\textwidth]{methodology_time_feature_sine_encoded}
\includegraphics[width=0.9\textwidth]{resources/figures/methodology/methodology_time_feature_sine_encoded}
\caption{Sine and cosine encoding of the day-of-week feature.}
\label{fig:methodology_time_feature_encoding}
\end{figure}
@@ -160,7 +160,7 @@ They represent real-time physiological signals from which the model must infer o
\begin{figure}[htbp]
\centering
\includegraphics[width=0.9\textwidth]{methodology_observable_features}
\includegraphics[width=0.9\textwidth]{resources/figures/methodology/methodology_observable_features}
\caption{Observable features for a cycle.}
\label{fig:methodology_observable_features}
\end{figure}
@@ -195,7 +195,7 @@ For this study, the following exogenous variables are used:
\begin{figure}[htbp]
\centering
\includegraphics[width=0.9\textwidth]{methodology_target_features}
\includegraphics[width=0.9\textwidth]{resources/figures/methodology/methodology_target_features}
\caption{
Target features plotted for a single cycle.
The ovulation-over indicator switches on the day of ovulation;
@@ -288,7 +288,7 @@ This is used primarily in the convolutional flavours of the models, to allow the
\begin{figure}[htbp]
\centering
\includegraphics[width=0.9\textwidth]{methodology_padding_example}
\includegraphics[width=0.9\textwidth]{resources/figures/methodology/methodology_padding_example}
\caption{
Padded input window during early cycle phases,
where historical data is still sparse.
@@ -325,7 +325,7 @@ Ultimately, the models used in this study were selected based on their ability t
\subsubsection{LSTM-Architecture}\label{subsubsec:lstm_architecture}
\begin{figure}[htbp]
\centering
\includegraphics[width=0.7\textwidth]{methodology_lstm_architecture}
\includegraphics[width=0.7\textwidth]{resources/figures/methodology/methodology_lstm_architecture}
\caption{
Schematic overview of the LSTM architecture used in this study.
}
@@ -354,7 +354,7 @@ as was shown to be an effective value~\cite{pham_dropout_2014}
\begin{figure}[htbp]
\centering
\includegraphics[width=0.7\textwidth]{methodology_transformer_architecture}
\includegraphics[width=0.7\textwidth]{resources/figures/methodology/methodology_transformer_architecture}
\caption{
Schematic overview of the Transformer architecture used in this study.
}
@@ -398,7 +398,7 @@ The specific values and tuning ranges for these parameters are discussed in Sect
\begin{figure}[htbp]
\centering
\includegraphics[width=0.7\textwidth]{methodology_convolution_architecture}
\includegraphics[width=0.7\textwidth]{resources/figures/methodology/methodology_convolution_architecture}
\caption{
Schematic overview of the temporal convolution layer architecture used in this study.
}