Sökning: "information models"
Visar resultat 1 - 5 av 3599 uppsatser innehållade orden information models.
1. COVID-19-pandemins påverkan på lönsamhet och affärsmodeller inom RoPax-sjöfarten
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : Syfte: Syftet med denna studie är att undersöka och få en djupare förståelse av COVID-19 pandemins påverkan på sjöfartsbranschen. Problemdiskussion: Under COVID-19-pandemin drabbades sjöfarten hårt där RoPax drabbades hårdast på grund av segmentets beroende av passagerare. LÄS MER
2. Simulating Mobility of Large Population using Mobile Application Data
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Understanding people’s travel patterns and knowing the frequency of their travel activities provide important insights for effective transport management and infrastructure planning. While traditional travel surveys have historically contributed to this valuable information, they come with shortcomings such as being expensive to collect, easily outdated, and having short time coverage. LÄS MER
3. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. LÄS MER
4. Beyond the Crisis: A Safe Haven Analysis : Empirical Insights into the Divergence of Gold and Bonds for Portfolio Hedging
Kandidat-uppsats, Umeå universitet/FöretagsekonomiSammanfattning : Purpose: This thesis investigates the relationship concerning traditional safe haven assets, gold and US 10-year treasury bonds during periods of market instability, specifically during the economic concerns raised by the COVID-19 pandemic. It assesses the hedging and safe haven properties of these assets and their dynamic nature throughout two periods of unconventional monetary and fiscal policy measures by the Federal Reserve & US Congress respectively. LÄS MER
5. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER