Essays about: "Random decisions"
Showing result 1 - 5 of 80 essays containing the words Random decisions.
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1. Stock Price Predictions for FAANG Companies Using Machine Learning Models
University essay from Lunds universitet/Statistiska institutionenAbstract : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. READ MORE
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2. Exploring the Influence of Firm Size on Leverage Evidence from OMX Stockholm Small Cap
University essay fromAbstract : This study examines the relationship between leverage and firm size for a sample of 83 firms listed on OMX Stockholm Small Cap between 2018 and 2022. Additionally, it explores the impact of the Covid-19 crisis on this relationship through quarters experiencing negative GDP growth. READ MORE
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3. Unraveling the Complexities of Energy Poverty in Germany- A Comparative Analysis of Determinants, Dynamics, and Indicators
University essay from Göteborgs universitet/Graduate SchoolAbstract : This master thesis investigates the determinants and dynamics of energy poverty in Germany based on different calculation methods. Using a dynamic random-effects probit model, socioeconomic factors associated with a household’s risk of experiencing energy poverty are identified. READ MORE
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4. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
University essay from Lunds universitet/Matematik LTHAbstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE
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5. Prediction Models for TV Case Resolution Times with Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE