Sökning: "Applied Mathematics"
Visar resultat 6 - 10 av 365 uppsatser innehållade orden Applied Mathematics.
6. Assessment and evaluation of heterogeneity in data from immune infiltration spatial niches in lung cancer
Kandidat-uppsats, Lunds universitet/Matematisk statistikSammanfattning : The protein biomarker expressions in three types of sampled immune INFILTration spatial niches in lung cancer tissue were measured using the new technology Digital Spatial Profiler (DSP). The three types of immune INFILTration that were observed in lung tumors were STROMA identified as immune cells separate from tumor cells, Tertiary lymphoid structures (TLS) identified as dense structures of organized immune cells and finally Infiltraterate where immune cells dispersed among and in direct contact with tumor cells (INFILT). LÄS MER
7. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. LÄS MER
8. Analyzing Survey Response Time and Response Rate for Colorectal Cancer Patients Using Logistic and Poisson Regression
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : Cancer is a highly prevalent disease worldwide, claiming hundreds of lives each year. In the field of cancer research, it is customary to conduct surveys in which patients are asked to self-report and assess their symptoms and overall health. LÄS MER
9. A Predictive Analysis of Customer Churn
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER
10. Analysing the Optimal Fund Selection and Allocation Structure of a Fund of Funds
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : This thesis aims to investigate different types of optimization methods that can be used when optimizing fund of fund portfolios. Moreover, the thesis investigates which funds that should be included and what their respective portfolio weights should be, in order to outperform the Swedish SIX Portfolio Return Index. LÄS MER