Essays about: "Network Visualization"
Showing result 6 - 10 of 141 essays containing the words Network Visualization.
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6. Comparative Analysis of the Performance of ARCore and WebXR APIs for AR Applications
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Augmented Reality has become a popular technology in recent years. Two of the most prominent AR APIs are ARCore, developed by Google, and We- bXR, an open standard for AR and Virtual Reality (VR) experiences on the web. READ MORE
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7. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. READ MORE
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8. Product Solutions for Occupational Health and Safety Risks – A Digital Tool
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Today, there are clearly defined directives and laws that regulate the work environment in Sweden, but despite this, there are still deficiencies in the work environment for companies. Physical work has a particularly high risk of developing occupational injuries, with heavy lifting being one of the contributing factors. READ MORE
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9. Deep Learning for the prediction of RASER-MRI profiles
University essay from Linköpings universitet/Medie- och InformationsteknikAbstract : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. READ MORE
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10. Implementation and Visualization of Importance sampling in Deep learning
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Artificial neural networks are networks made up of thousands and sometimes millions or more nodes also referred to as neurons. Due to the sheer scale of a network, the task of training the network can become very compute-intensive. READ MORE