Essays about: "Mathematical methods"
Showing result 21 - 25 of 395 essays containing the words Mathematical methods.
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21. Analysis of Flow Prolongation Using Graph Neural Network in FIFO Multiplexing System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Network Calculus views a network system as a queuing framework and provides a series of mathematical functions for finding an upper bound of an end-to-end delay. It is crucial for the design of networks and applications with a hard delay guarantee, such as the emerging Time Sensitive Network. READ MORE
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22. Evaluation of Numerically Developed Models of an ECB for Estimating the Braking Torque on the SkiCrosser
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Cross-country skiing is a popular method of exercising that builds strength, stamina and engages the entire body. As cross-country skiing requires snow to be present, it is typically only performed during the winter, resulting in a rather limited way of exercising. READ MORE
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23. Time synchronization error detection in a radio access network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Time synchronization is a process of ensuring all the time difference between the clocks of network components(like base stations, boundary clocks, grandmasters, etc.) in the mobile network is zero or negligible. It is one of the important factors responsible for ensuring effective communication between two user-equipments in a mobile network. READ MORE
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24. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. READ MORE
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25. Random matrix theory in machine learning
University essay from KTH/Matematik (Avd.)Abstract : In this thesis, we review some applications of random matrix theory in machine learning and theoretical deep learning. More specifically, we review data modelling in the regime of numerous and large dimensional data, a method for estimating covariance matrix distances in the aforementioned regime, as well as an asymptotic analysis of a simple neural network model in the limit where the number of neurons is large and the data is both numerous and large dimensional. READ MORE