Sökning: "order statistics"
Visar resultat 1 - 5 av 1286 uppsatser innehållade orden order statistics.
1. Weather Factors and E. coli Concentration in Barnviken, Malmö - A Linear Mixed Model Approach
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Barnviken in Malmö has persistently encountered challenges associated with elevated concentrations of Escherichia coli (E. coli) without a discernible source of contamination. LÄS MER
2. “(Wo)man, Life, Freedom” : en flermetodsstudie om representationen och gestaltningen av nyhetskällor i Al Arabiya och Al Jazeera under protesterna i Iran 2022 & 2023
Kandidat-uppsats, Lunds universitet/JournalistikSammanfattning : This essay examines articles published on the English editorial websites of Al Arabiya and Al Jazeera that discuss the protests that have taken place in Iran following the death of Mahsa Zhina Amini. The study is based on the framing theory, the gender theory, and the theory on “primary definers”. LÄS MER
3. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. LÄS MER
4. Virtual H&E Staining Using PLS Microscopy and Neural Networks
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER
5. Predicting Counter-Strike Matches using Machine Learning Models
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER