Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Topologisk dataanalys"'
Autor:
Arthursson, Karl
This thesis explores a new way to analyze spatiotemporal data. By combining topology, the path signature and machine learning a robust model to analyze swarming behavior over time is created. Using persistent homology a representation of spatial data
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-346701
This Master's Thesis delves into the application of topological regularization techniques and relative latent representations within the realm of zero-shot model stitching. Building upon the prior work of Moschella et al. (2022) that introduces relat
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-340944
Autor:
Lundin, Daniel
A fundamental mathematical object in topological data analysis today is the persistence module. This thesis explores different metrics on multidimensional persistence modules, where spaces are parametrized along multiple dimensions. The focus is espe
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323873
Autor:
Thinsz, David
This thesis investigates three discrete Laplace operators: the graph Laplacian, combinatorial Laplacian, and the more recently introduced persistent Laplacian. We discuss how these operators relate to each other and study their spectral properties. T
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323871
Autor:
Thinsz, David
This thesis investigates three discrete Laplace operators: the graph Laplacian, combinatorial Laplacian, and the more recently introduced persistent Laplacian. We discuss how these operators relate to each other and study their spectral properties. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::5374a3e0f5791e946790154c94956974
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323871
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323871
Autor:
Movin, Andreas
With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliabi
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-311953
Autor:
Movin, Andreas
With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::125272ecef9a9af3118d1acf99aec110
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-311953
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-311953
Autor:
Bojs, Eric
This thesis aims to give insight into a novel approach for quantifying car traffic in developing cities. This is necessary to improve efficiency in resource allocation for improvements in infrastructure. The project took form of a case study of neigh
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275684
Autor:
Agerberg, Jens
Stable rank has recently been proposed as an invariant to encode the result of persistent homology, a method used in topological data analysis. In this thesis we develop methods for statistical analysis as well as machine learning methods based on st
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273581
An investigation of average stable ranks : On plane geometric objects and financial transaction data
Autor:
Odelius, Linn
This thesis concerns the topological features of plane geometric shapes and financial transaction data. Topological properties of the data such as homology groups and their stable ranks are analysed. It is investigated how to mathematically describe
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266894