Essays about: "Network Traffic Flows"
Showing result 11 - 15 of 65 essays containing the words Network Traffic Flows.
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11. Exploration of 5G Traffic Models using Machine Learning
University essay from Linköpings universitet/Databas och informationsteknikAbstract : The Internet is a major communication tool that handles massive information exchanges, sees a rapidly increasing usage, and offers an increasingly wide variety of services. In addition to these trends, the services themselves have highly varying quality of service (QoS), requirements and the network providers must take into account the frequent releases of new network standards like 5G. READ MORE
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12. Exploring the attributes relevant to accidents between vehicles and unprotected road users, taking Stockholm as an example
University essay from KTH/GeoinformatikAbstract : Traffic accidents is one of the major causes of fatalities and economic loss around the world. Thus, there is an urgent need for a better understanding about the factors that contribute to accidents so that the accidents can be prevented in the future. READ MORE
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13. Public transport origin-destination matrices: pattern recognition and short-term prediction
University essay from KTH/Numerisk analys, NAAbstract : Origin-Destination (OD) matrices are an essential tool in transport planning and management to model user travel patterns. An OD matrix is a picture of the public transport passengers demand in a specific temporal window The use of the metropolitan transportation system as an alternative to private cars enables a decrease of CO2 emissions, air pollution and traffic noise. READ MORE
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14. Training LSTM RNN models for network flow data classification for attack intention recognition systems
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : The classification of network attack data, and prediction of the next likely set of network traffic flows is of particular interest to the cyber security domain, as it forms the basis for the timely response to cyber attacks as they progress. This work presents an overview of the main Attack Intention Recognition (AIR) approaches and techniques proposed over the last few years and proceeds to propose a system for classifying and distinguishing different types of network attacks using LSTM-RNN models. READ MORE
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15. Applying FQ-CoDel For Packet Schedulers In Tunneled Transport Layer Access Bundling
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : The number of devices and internet traffic for applications connected to the internet increases continuously. Devices provide increasing support for multi-homing and can utilize different access networks for end-to-end communication. READ MORE
