Zobrazeno 1 - 10
of 54 477
pro vyhledávání: '"topological analysis"'
Autor:
Martin Väth
This monograph aims to give a self-contained introduction into the whole field of topological analysis: Requiring essentially only basic knowledge of elementary calculus and linear algebra, it provides all required background from topology, analysis,
Graph motif, defined as the microstructure that appears repeatedly in a large graph, reveals important topological characteristics of the large graph and has gained increasing attention in power system analysis regarding reliability, vulnerability an
Externí odkaz:
http://arxiv.org/abs/2412.05957
Epilepsy is known to drastically alter brain dynamics during seizures (ictal periods). However, whether epilepsy may alter brain dynamics during background (non-ictal) periods is less understood. To investigate this, we analyzed the brain activity of
Externí odkaz:
http://arxiv.org/abs/2412.01911
Autor:
C. E., Frasser1
Publikováno v:
German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft. Jul2024, Issue 85, p29-36. 8p.
Recently, deep learning (DL) approaches to vulnerability detection have gained significant traction. These methods demonstrate promising results, often surpassing traditional static code analysis tools in effectiveness. In this study, we explore a no
Externí odkaz:
http://arxiv.org/abs/2410.03470
Unsupervised anomaly detection in time series is essential in industrial applications, as it significantly reduces the need for manual intervention. Multivariate time series pose a complex challenge due to their feature and temporal dimensions. Tradi
Externí odkaz:
http://arxiv.org/abs/2408.13082
Autor:
Samani, Ekta U., Banerjee, Ashis G.
Visual object recognition in unseen and cluttered indoor environments is a challenging problem for mobile robots. This study presents a 3D shape and color-based descriptor, TOPS2, for point clouds generated from RGB-D images and an accompanying recog
Externí odkaz:
http://arxiv.org/abs/2408.01579
Traditional Topological Data Analysis (TDA) methods, such as Persistent Homology (PH), rely on distance measures (e.g., cross-correlation, partial correlation, coherence, and partial coherence) that are symmetric by definition. While useful for study
Externí odkaz:
http://arxiv.org/abs/2407.13514