Results 61 to 70 of about 7,249,127 (302)
, 2020 The construction of Mapper has emerged in the last decade as a powerful and effective topological data analysis tool that approximates and generalizes other topological summaries, such as the Reeb graph, the contour tree, split, and joint trees.
A Collins +21 more
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BPS Spectra, Barcodes and Walls [PDF]
, 2019 BPS spectra give important insights into the non-perturbative regimes of supersymmetric theories. Often from the study of BPS states one can infer properties of the geometrical or algebraic structures underlying such theories.
Cirafici, Michele
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Enhancing financial time series forecasting through topological data analysis
Neural computing & applications (Print)Topological data analysis (TDA) is increasingly acknowledged within financial markets for its capacity to manage complexity and discern nuanced patterns and structures.
Luiz Carlos de Jesus +2 more
semanticscholar +1 more source
PLoS ONE, 2022 In the past few years, light, affordable wearable inertial measurement units have been providing to clinicians and researchers the possibility to quantitatively study motor degeneracy by comparing gait trials from patients and/or healthy subjects.
Alexandre Bois +5 more
semanticscholar +1 more source
A topological data analysis based classifier
Advances in Data Analysis and Classification, 2023 The paper is under consideration at Advances in Data Analysis and Classification.
Rolando Kindelan +3 more
openaire +3 more sources
When remote sensing meets topological data analysis
Journal of Spectral Imaging, 2018 Hyperspectral remote sensing plays an increasingly important role in many scientific domains and everyday life problems. Indeed, this imaging concept ends up in applications as varied as catching tax-evaders red-handed by locating new construction and ...
Ludovic Duponchel
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Topological data analysis for the string landscape
Journal of High Energy Physics, 2019 Persistent homology computes the multiscale topology of a data set by using a sequence of discrete complexes. In this paper, we propose that persistent homology may be a useful tool for studying the structure of the landscape of string vacua. As a scaled-
Alex Cole, Gary Shiu
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Empowering Advanced Parametric Modes Clustering from Topological Data Analysis
Applied Sciences, 2021 Modal analysis is widely used for addressing NVH—Noise, Vibration, and Hardness—in automotive engineering. The so-called principal modes constitute an orthogonal basis, obtained from the eigenvectors related to the dynamical problem.
Tarek Frahi +4 more
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Persistence Bag-of-Words for Topological Data Analysis
, 2019 Persistent homology (PH) is a rigorous mathematical theory that provides a robust descriptor of data in the form of persistence diagrams (PDs). PDs exhibit, however, complex structure and are difficult to integrate in today's machine learning workflows ...
Dłotko, Paweł +4 more
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From Brain Lobes to Neurons: Navigating the Brain Using Advanced 3D Modeling and Visualization Tools
Journal of ImagingNeuroscience education must convey 3D structure with clarity and accuracy. Traditional 2D renderings are limited as they lose depth information and hinder spatial understanding.
Mohamed Rowaizak +2 more
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