Sökning: "arrival time prediction"
Visar resultat 1 - 5 av 25 uppsatser innehållade orden arrival time prediction.
1. WSA-ENLIL + Cone ensemble modeling of an Earth-directed ICME : Comparison with in-situ observations by Solar Orbiter and WIND at L1
Master-uppsats, Uppsala universitet/Institutionen för fysik och astronomi; Uppsala universitet/Institutet för rymdfysik, UppsalaavdelningenSammanfattning : Coronal mass ejections (CMEs) are considered the most energetic phenomenon in the heliosphere. Originated in the solar corona, they are formed by ejected plasma driven by strong magnetic fields. LÄS MER
2. Utvärdering av ankomstprognoser för tåg
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Trafik och vägSammanfattning : In this master thesis, an evaluation of arrival forecasts for trains is made to see how various prediction sources compare to each other and how well these reflect reality. Furthermore, this thesis is a sprint of a research project that is carried out and conducted at Lund University of Technology on behalf of the Swedish Transport Administration. LÄS MER
3. Improvement and Standardization of Forklift Remanufacturing : Action Research on Toyota Material Handling Sweden forklift remanufacturing
Master-uppsats, Linköpings universitet/ProduktionsekonomiSammanfattning : The current production field operates on linear resource flows, characterized by known supply and consistent manufacturing materials. In contrast, a remanufacturing system experiences variable process flows for each produced unit, even though the end product remains the same. LÄS MER
4. Modeling and quantifying uncertainty in bus arrival timeprediction
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : Public transportation operates in an environment which, due to its nature of numerous possibly influencing factors, is highly stochastic. This makes predictions of arrival times difficult, yet it’s important to be accurate in order to adhere to travelers expectations. LÄS MER
5. Comparison of Machine Learning Models Used for Swedish Text Classification in Chat Messaging
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The rise of social media and the use of mobile applications has led to increasing concerns regarding the content that is shared through these apps and whether they are being regulated or not. One of the problems that can arise due to a lack of regulation is that chat messages that are inappropriate or of profane nature can be allowed to be shared through these apps. LÄS MER