Results 41 to 50 of about 426,517 (268)
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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, 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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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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Topological Data Analysis and Clustering
, 2023 This article is intended to be a chapter for a ...
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Feasibility of topological data analysis for event-related fMRI [PDF]
Network Neuroscience, 2019 Recent fMRI research shows that perceptual and cognitive representations are instantiated in high-dimensional multivoxel patterns in the brain. However, the methods for detecting these representations are limited. Topological data analysis (TDA) is a new
Cameron T. Ellis +4 more
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Topological Data analysis of Ion Migration Mechanism
The Journal of Chemical Physics, 2023 Topological data analysis based on persistent homology has been applied to the molecular dynamics simulation for the fast ion-conducting phase (α-phase) of AgI to show its effectiveness on the ion migration mechanism analysis. Time-averaged persistence diagrams of α-AgI, which quantitatively record the shape and size of the ring structures in the given
Ryuhei Sato +6 more
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Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
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