Sökning: "Discrete mathematics"
Visar resultat 1 - 5 av 57 uppsatser innehållade orden Discrete mathematics.
1. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. LÄS MER
2. The deductibles impact on the risk premium
Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. LÄS MER
3. A Borel-Cantelli lemma for non-stationary dynamical systems
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : In this thesis we present a Borel–Cantelli lemma for dynamical systems such that the dynamics driving the system varies with time. These results are largely based on a decomposition of transfer operators produced by Rychlik. Some limitations on the structure of sequences that is necessary for the results is given some discussion. LÄS MER
4. Deep Learning Based Out-of-focus Detection on Surveillance Footage
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Loss of focus in surveillance cameras can occur due to factors such as environmental aspects, sabotage or system errors. The focus loss leads to degraded footage that is of no use for either post-investigation or automatic video analysis. LÄS MER
5. A Continuous-time ODE Framework to Centrality in Dynamic Networks
Kandidat-uppsats, Lunds universitet/Matematikcentrum; Lunds universitet/Matematik (naturvetenskapliga fakulteten)Sammanfattning : The present study discusses and evaluates a novel continuous-time approach to network centrality, a fundamental concept in network analysis. Static methods based on discrete snapshots or time slices for measuring node interaction in networks that change over time do not fully capture the dynamical nature of network evolution. LÄS MER