Essays about: "Probability matrix method"

Showing result 1 - 5 of 17 essays containing the words Probability matrix method.

1. 1. Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Andre Ráth; [2022]
   Keywords : 5G; Deep Learning; Positioning; Channel State Information; CSI; Deep-learning; neural-network; particle-filter; particle; filter; Channel Matrix; Beamformed Channel Matrix; localization; real-world; data-driven; 5G testbench; basestation; Technology and Engineering;

   Abstract : 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. READ MORE

3. 2. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Sanskar Gupta; [2022]
   Keywords : Uncertainty; Confidences; Calibration; Clustering; Multiclass classification;

   Abstract : 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. READ MORE

4. 3. Damping Factor Analysis for PageRank

   University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Author : Fredrik Scheie; [2022]
   Keywords : PageRank; Damping factor; Probability matrix; Google matrix;

   Abstract : 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. READ MORE

5. 4. Exploring the column elimination optimization in LIF-STDP networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mingda Sun; [2022]
   Keywords : SpikingNeuralNetwork SNN ; neuromorphiccomputing; memoryoptimization; Hebbian learning; Spike-timing-depend plasticity STDP learning; Spiking Neural Network SNN ; neuromorphic computing; minnesoptimering; Hebbisk inlärning; spike-timing-depend plasticity STDP inlärning;

   Abstract : 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. READ MORE

6. 5. Development of a Proactive Supply Risk Management Model

   University essay from Lunds universitet/Teknisk logistik; Lunds universitet/Institutionen för teknisk ekonomi och logistik

   Author : Albin Melin; Jesper Jensen Ehlers; [2021]
   Keywords : Supply Risk Management; SRM; Supply Chain Management; Swedish Agrifood Industry; Multiple Case Study; Constructive Research; Technology and Engineering; Business and Economics;

   Abstract : Supply risk management (SRM) is a well-established aspect in the field of supply chain management (SCM) that has gained even more relevance due to the ongoing covid-19 pandemic. Many articles have been published relating to the topic, such as Norrman and Jansson (2004) and Zsidisin (2003a). READ MORE