Sökning: "The Classical model"
Visar resultat 1 - 5 av 379 uppsatser innehållade orden The Classical model.
1. Predicting inflow and infiltration to wastewater networks based on temperature measurements
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Sewer pipelines are deteriorating due to aging and sub optimal material selections, leading to the infiltration of clean ground and rainfall water into the pipes. It is estimated that a significant portion (up to 40-50%) of the water entering wastewater treatment plants is actually clean infiltrated water. LÄS MER
2. ANVÄNDANDET AV HISTORISKA FÖREBILDER FÖR GESTALTNING AV NY BEBYGGELSE En undersökning av olika perspektiv ur den samtida gestaltningsdebatten
Kandidat-uppsats, Göteborgs universitet/Institutionen för kulturvårdSammanfattning : In this study arguments for and against the usage of historical references in new built architecture within the contemporary Swedish architectural debate are analysed. Special attention is paid to arguments containing the commonly used expression classical architecture as well as the term pastiche. LÄS MER
3. Decoding the surface code using graph neural networks
Master-uppsats, Göteborgs universitet / Institutionen för fysikSammanfattning : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. LÄS MER
4. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. LÄS MER
5. Drivers of sea level variability using neural networks
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. LÄS MER