Essays about: "User clustering"
Showing result 1 - 5 of 100 essays containing the words User clustering.
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1. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. READ MORE
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2. Nanoparticle synthesis analysis : Program for data visualization and cluster analysis of nanoparticle synthesis protocols
University essay from Uppsala universitet/Institutionen för elektroteknikAbstract : As energy demands rise across the globe, new clean energy solutions must be developed. Peafowl Plasmonics is developing a direct solar harvesting device using plasmonic technology. To expand their business and increase manufacturing scalability, nanoparticle synthesis protocols must be made. READ MORE
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3. 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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4. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. READ MORE
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5. Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The global energy consumption of mobile networks is rapidly increasing due to the exponential growth of mobile network traffic. The advent of next-generation cellular technologies such as fifth-generation (5G) and beyond promises higher network throughput and lower latency but also demands higher power consumption for its denser base station (BS) deployment and more energy-intensive processors. READ MORE