Essays about: "Fog networks"
Showing result 1 - 5 of 9 essays containing the words Fog networks.
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1. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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. READ MORE
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2. Fog detection using an artificial neural network
University essay from Lunds universitet/Matematisk statistikAbstract : 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. READ MORE
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3. Deep Learning Based Out-of-focus Detection on Surveillance Footage
University essay from Lunds universitet/Matematik LTHAbstract : 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. READ MORE
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4. Off-road Driving with Deteriorated Road Conditions for Autonomous Driving Systems
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : 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. READ MORE
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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
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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. READ MORE