Sökning: "network simulating"
Visar resultat 1 - 5 av 129 uppsatser innehållade orden network simulating.
1. Optical Communication using Nanowires and Molecular Memory Systems
Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikSammanfattning : Neuromorphic computational networks, inspired by biological neural networks, provide a possible way of lowering computational energy cost, while at the same time allowing for much more sophisticated devices capable of real-time inferences and learning. Since simulating artificial neural networks on conventional computers is particularly inefficient, the development of neuromorphic devices is strongly motivated as the reliance on AI-models increases. LÄS MER
2. The Slow Spread of Environmentally Friendly Action : An agent-based model simulation of social networks
Master-uppsats, Stockholms universitet/Sociologiska institutionenSammanfattning : The adoptation of environmentally friendly behaviour is rather slow, although the climate crisis is pressing. This thesis aims to understand the slow adoption of environmentally friendly behaviour, specifically focusing on vegetarianism and veganism, by employing social network analysis. LÄS MER
3. Modeling Epidemics On Different Networks : Insights into Testing Strategies
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Modeling epidemics is of great interest because it allows us to anticipate and investigate what countermeasures like testing are more effective in slowing down the spread of a disease. In traditional mathematical modeling techniques, a society is represented as a singular entity where everyone can interact with everyone. LÄS MER
4. Simulating metal ct artefacts for ground truth generation in deep learning.
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER
5. Modelling Long Term Memory in the Bayesian Confidence Neural Network Model
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Memory is a fascinating and complex part of human life. Understanding memory and simulating itthrough modelling can help society take steps towards understanding health issues such asAlzheimer's, dementia and amnesia. LÄS MER