Sökning: "Fog networks"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Fog networks.

1. 1. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Weilin Zhang; [2023]
   Nyckelord :Workload Allocation; Federated Learning; Deep Q-network; Fog networks; Federated Average Aggregation;

   Sammanfattning : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. LÄS MER

3. 2. Fog detection using an artificial neural network

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Quanwei Li; Tiancheng Ma; [2023]
   Nyckelord :Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

   Sammanfattning : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. LÄS MER

4. 3. Deep Learning Based Out-of-focus Detection on Surveillance Footage

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Hanna Bengtsson; Teodora Kerac; [2023]
   Nyckelord :Deep Learning; CNN; Out-of-focus detection; Mathematics and Statistics;

   Sammanfattning : 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. 4. Off-road Driving with Deteriorated Road Conditions for Autonomous Driving Systems

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Eric Ekström; [2022]
   Nyckelord :autonomous driving systems; computer graphics; synthetic training data; driving;

   Sammanfattning : Recent studies on robustness of machine learning systems shows that today’s autonomous vehicles struggle with very basic visual disturbances such as rain or snow. There is also a lack of training data that includes off road scenes or scenes with different forms of deformation to the road surface. LÄS MER

7. 5. Clustering and Classification of Time Series in Real-Time Strategy Games - A machine learning approach for mapping StarCraft II games to clusters of game state time series while limited by fog of war

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Olof Enström; Fredrik Hagström; John Segerstedt; Fredrik Viberg; Arvid Wartenberg; David Weber Fors; [2020-10-29]
   Nyckelord :Classification problem; Cluster analysis; Hierarchical clustering; Machine learning; Neural network; Random forest; Real-time strategy; StarCraft II; Time series;

   Sammanfattning : Real-time strategy (RTS) games feature vast action spaces and incomplete information, thus requiring lengthy training times for AI-agents to master them at the level of a human expert. Based on the inherent complexity and the strategical interplay between the players of an RTS game, it is hypothesized that data sets of played games exhibit clustering properties as a result of the actions made by the players. LÄS MER