Essays about: "Network Performance"
Showing result 1 - 5 of 2792 essays containing the words Network Performance.
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1. Analyzing the Effects of Virtualization on Cloud Platform Performance
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : Denna avhandling utforskar den komplexa interaktionen mellan virtualiseringstekniker och prestanda för molnapplikationer. Genom att utvärdera hypervisor- och containerbaserade metoder skapar vi en teoretisk grund för att förstå rollen för virtualisering i modern molnbaserad miljö. READ MORE
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2. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
University essay from KTH/Hälsoinformatik och logistikAbstract : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. READ MORE
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3. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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4. Assessing the Effectiveness of Urban Trees with Skeletal Soils in Flood Risk Mitigation
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : With increased urbanization and climate change, heavy rainfall events and urban floods are becoming more frequent. To meet the demands for effective climate adaptation strategies and mitigation measures, Nature-Based Solutions (NBS) have received increased attention. READ MORE
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5. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving a noticeable gap in FL research specifically for regression models. READ MORE