Sökning: "SIR model"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden SIR model.
1. Tau-Leaping Implementations outside of chemistry
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Tau-leaping is an algorithm for model simulations most often used in kinetic chemistry. It was created to make simulations more efficient at the cost of some accuracy. However, its uses outside of chemistry are limited but could help make some model simulations more efficient. LÄS MER
2. Vad är en organisationsidentitet och hur kommuniceras den? : En kvalitativ studie om kommunikatörers relation till organisationsidentitet.
Kandidat-uppsats, Karlstads universitet/Institutionen för geografi, medier och kommunikation (from 2013)Sammanfattning : A society with more organizations that want to reach out with their messages, as well as an increasingly changing role as a communicator form the background and the problem area of this study. This essay is placed within the area of organizational identity, more specifically how communicators communicate and maintain an organizational identity, and whether organizational identity can contribute to sensemaking within the organization. LÄS MER
3. Impact of Central Nodes in Information Propagation over Graphs
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : There are many systems which can be represented as graphs, to say the least the networks in which we communicate with each other. Thorough understanding of graph structures enables better predictions of the dynamics in real life networks, such as the spreading of a disease in a community or failure propagation in a system. LÄS MER
4. The role of explicit solutions in the analysis of epidemic models
Kandidat-uppsats, Linnéuniversitetet/Institutionen för matematik (MA)Sammanfattning : In this thesis, we will study basic mathematical epidemic models SIR, SIS, and SEIR. Then we will construct a modified model as a combination of SIR and SIS models. First, we will find the explicit solutions for the SIS model. and show no exact solution for the SIR model. LÄS MER
5. A Physics-Informed Deep Learning Framework for Solving Inverse Problems in Epidemiology
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : This thesis develops and evaluates a physics-informed neural network (PINN) modelling framework for solving inverse problems in epidemiology. The PINN works by modifying the standard mean squared error loss function of the neural network, by adding a term penalizing deviations from a given compartmental model's system of ordinary differential equations. LÄS MER