Sökning: "Probability matrix method"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden Probability matrix method.
1. Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Within the telecommunications industry, a positioning system for estimating user equipment (UE) location using purely information available for the basestation has an enormous number of potential uses. The link between physical position and the network channel state enables potential positioning systems to function by under- standing the network channel state dependency on location, using a model-based, data-based, or a combined approach. LÄS MER
2. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Over the last decade, neural networks have reached almost every field of science and technology. They have become a crucial part of various real-world applications, such as medical imaging. LÄS MER
3. Utvärdering av förbättringsverktyg för granskning av vetenskaplig forskning. : Matris och mognadsmodell i en komparativ studie.
Magister-uppsats, Mittuniversitetet/Institutionen för kvalitets- och maskinteknikSammanfattning : Ett problem då en akademisk uppsats skall vetenskapligt utvärderas är att examinatorn måste kunna, på ett så objektivt sätt som möjligt, utreda om uppsatsen uppfyller krav på vetenskaplig sannolikhet. Allt för att arbetet skall tillåtas nå den praktiska tillämpningen hos allmänheten. LÄS MER
4. Damping Factor Analysis for PageRank
Master-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikationSammanfattning : The purpose of this thesis is to present research related to the damping factor in relation to the PageRank algorithm where a method of symbolic calculations is used to calculate eigenvalues, eigenvectors corresponding to the Google matrix in relation to both directed and undirected graphs. These graphs given comprise all the directed graphs up to four vertices and in addition the undirected graphs of five vertices are given in this thesis. LÄS MER
5. Exploring the column elimination optimization in LIF-STDP networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Spiking neural networks using Leaky-Integrate-and-Fire (LIF) neurons and Spike-timing-depend Plasticity (STDP) learning, are commonly used as more biological possible networks. Compare to DNNs and RNNs, the LIF-STDP networks are models which are closer to the biological cortex. LÄS MER