Essays about: "informationsteori"

Showing result 1 - 5 of 11 essays containing the word informationsteori.

1. 1. Interactive Visualization of Network Models in JavaScript/TypeScript for Web-based Applications

   University essay from Umeå universitet/Institutionen för fysik

   Author : Morrow Erik; [2023]
   Keywords : Networks; Information visualization; Information Theory; Interactive visualization; Nätverk; Informationsvisualisering; Informationsteori; Interaktiv visualisering;

   Abstract : Networks of nodes and links are powerful tools to model complex systems, however, when the number of nodes and links grows to the thousands then even the network becomes too complex to comprehend unless we can simplify and highlight the networks underlying structure. The map equation is a method developed by the researchers at IntegratedScience Lab that uses an information theoretic approach to reveal community structure using the flow of information on the network modeled with random walks. READ MORE

3. 2. Graph Complexity Based on a Heuristic That Involves the Algorithmic Complexity Behaviour of Multiplex Networks on Graphs

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

   Author : Hasan Kalzi; [2021]
   Keywords : ;

   Abstract : Since determining the complexity of multiplex networks is an NP-hard problem, I decided to calculate the complexity of graphs using heuristics. I am the first in this path who did these kinds of calculations. I always wanted to define complexity as a mathematical characteristic in the structure of graphs. READ MORE

4. 3. Articulation rate as a means of distributing information and its effect on the N400-component

   University essay from Stockholms universitet/Institutionen för lingvistik

   Author : Christoffer Forbes Schieche; [2021]
   Keywords : Information theory; surprisal; articulation rate; EEG; ERP; N400; Informationsteori; surprisal; artikulationshastighet; EEG; ERP; N400;

   Abstract : Information theoretical approaches to language state that the most efficient communication oc­curs when the amount of information transmitted is distributed as uniformly as possible over time. Previous research has shown that speakers tend to adhere to strategies for distributing information efficiently, using mechanisms at multiple linguistic levels. READ MORE

5. 4. Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic

   University essay from KTH/Matematisk statistik

   Author : Gabriel Damour; [2019]
   Keywords : Network Security; Distributed Denial of Service; DDoS; DoS; Anomaly Detection; Intrusion Detection; Attack Source Identification; Information Theory; Statistical Learnin; Nätverkssäkerhet; Distribuerad Överbelastningsattack; DDoS; DoS; Anomalidetektering; Intrångsdetektering; Identifiering av Attackkällor; Informationsteori; Maskininlärning;

   Abstract : With the current proliferation of cyber attacks, safeguarding internet facing assets from network intrusions, is becoming a vital task in our increasingly digitalised economies. Although recent successes of machine learning (ML) models bode the dawn of a new generation of intrusion detection systems (IDS); current solutions struggle to implement these in an efficient manner, leaving many IDSs to rely on rule-based techniques. READ MORE

6. 5. Revision of an artificial neural network enabling industrial sorting

   University essay from Uppsala universitet/Institutionen för teknikvetenskaper

   Author : Henrik Malmgren; [2019]
   Keywords : artificial neural networks; machine learning; deep learning; connectionism; pattern recognition; machine learning; automation; image analysis; information technology; applied mathematics; mathematical optimization; information theory; mathematical statistics; mathematical models; stochastic models; probabilities; chance; approximations; algorithms; computer programs; computer software; signal processing; high performance computing; numerical methods; high technology industries; sustainable development; artificiella neurala nätverk; maskininlärning; djup maskininlärning; konnektionism; mönsterigenkänning; automatisering; bildanalys; informationsteknik; tillämpad matematik; optimering; informationsteori; statistisk inferens; matematiska modeller; stokastiska modeller; sannolikhetskalkyl; slumpen; approximationer; algoritmer; datorprogram; programvara; signalbehandling; högpresterande beräkningar; numeriska metoder; teknikutveckling; maskinindustri; högteknologisk industri; maskinhandel; skrothandel; bärkraftig utveckling;

   Abstract : Convolutional artificial neural networks can be applied for image-based object classification to inform automated actions, such as handling of objects on a production line. The present thesis describes theoretical background for creating a classifier and explores the effects of introducing a set of relatively recent techniques to an existing ensemble of classifiers in use for an industrial sorting system. READ MORE