Sökning: "Network Model"
Visar resultat 1 - 5 av 3553 uppsatser innehållade orden Network Model.
1. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. LÄS MER
2. 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
3. Repurposing cultural heritage: Design proposal for the Olympic Rowing stadium in Helsinki
Master-uppsats, Lunds universitet/Institutionen för arkitektur och byggd miljöSammanfattning : A network of functionalist buildings and stadiums was originally designed for the 1940 Olympic games in Helsinki. Among these structures was the Rowing Stadium, which hosted the kayaking competition in 1952 after the games were postponed due to World War II. (Malmberg et al. LÄS MER
4. Influencers in Confinement : Measuring Covid-19’s Impact on Leadership in Pro- Eating Disorder Twitter Communities
Master-uppsats, Linköpings universitet/Institutet för analytisk sociologi, IASSammanfattning : The Covid-19 pandemic presented unprecedented challenges, with global lockdowns impacting individuals on a profound scale. Many took to social media to cope with feelings of anxiety and isolation. LÄS MER
5. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER