fixes

thesis/main.tex

@@ -10,7 +10,6 @@
 
 \usepackage{graphicx}
 \graphicspath{{resources/figures/}}
-\usepackage[inksacpeformat=png]{svg}
 
 \usepackage[style=ieee, backend=biber]{biblatex}
 \addbibresource{../main.bib}

thesis/sections/background.tex

@@ -89,7 +89,8 @@ improving accessibility and usability\cite{alexander_fertilitatsmonitoring_2014,
 Time series analysis is a fundamental tool for studying sequential data that evolves over time.
 Unlike other data types, time series data has an inherent temporal order, where each data point is associated
 with a timestamp, capturing its dependence on past values.
-The goal of time series analysis is to model these dependencies and extract meaningful insights.
-While related to signal processing, time series analysis focuses more on long-term trends and forecasting,
-rather than frequency-domain characteristics.
+There are usually two main goals:
+understanding the underlying mechanisms that lead to the observed data and predicting future data points based on the
+historical information and potentially external factors\cite{cryer_time_2008}
 \\
+Time series analysis encompasses various methods, ranging from simple statistical models to complex deep learning architectures.