Results 11 to 20 of about 7,249,127 (302)
Topological Data analysis of Ion Migration Mechanism. [PDF]
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.
Ryuhei Sato +6 more
semanticscholar +4 more sources
Topological analysis of data [PDF]
EPJ Data Science, 2017 Propelled by a fast evolving landscape of techniques and datasets, data science is growing rapidly. Against this background, topological data analysis (TDA) has carved itself a niche for the analysis of datasets that present complex interactions and rich
Alice Patania +2 more
doaj +3 more sources
Topological Information Data Analysis [PDF]
Entropy, 2019 This paper presents methods that quantify the structure of statistical interactions within a given data set, and were applied in a previous article.
Pierre Baudot +3 more
doaj +4 more sources
Statistical inference for dependence networks in topological data analysis [PDF]
Frontiers in Artificial Intelligence, 2023 Topological data analysis (TDA) provide tools that are becoming increasingly popular for analyzing multivariate time series data. One key aspect in analyzing multivariate time series is dependence between components.
Anass B. El-Yaagoubi +2 more
doaj +2 more sources
Topological Data Analysis with Bregman Divergences [PDF]
, 2016 Given a finite set in a metric space, the topological analysis generalizes hierarchical clustering using a 1-parameter family of homology groups to quantify connectivity in all dimensions.
Edelsbrunner, Herbert, Wagner, Hubert
core +7 more sources
Topological Data Analysis for Particulate Gels. [PDF]
ACS NanoSoft gels, formed via the self-assembly of particulate materials, exhibit intricate multiscale structures that provide them with flexibility and resilience when subjected to external stresses.
Alexander D Smith +3 more
semanticscholar +4 more sources
Topological data analysis for revealing dynamic brain reconfiguration in MEG data [PDF]
PeerJ, 2023 In recent years, the focus of the functional connectivity community has shifted from stationary approaches to the ones that include temporal dynamics. Especially, non-invasive electrophysiological data (magnetoencephalography/electroencephalography (MEG ...
Ali Nabi Duman, Ahmet E. Tatar
doaj +3 more sources
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models [PDF]
Briefings Bioinform., 2023 Protein engineering is an emerging field in biotechnology that has the potential to revolutionize various areas, such as antibody design, drug discovery, food security, ecology, and more.
Yuchi Qiu, Guo-Wei Wei
semanticscholar +1 more source
Euler Characteristic Tools For Topological Data Analysis [PDF]
Journal of machine learning research, 2023 In this article, we study Euler characteristic techniques in topological data analysis. Pointwise computing the Euler characteristic of a family of simplicial complexes built from data gives rise to the so-called Euler characteristic profile.
Olympio Hacquard, Vadim Lebovici
semanticscholar +1 more source
Frontiers in Computational Neuroscience, 2021 Neuronal morphology is characterized by salient features such as complex axonal and dendritic arbors. In the mammalian brain, variations in dendritic morphology among cell classes, brain regions, and animal species are thought to underlie known ...
Reem Khalil +2 more
doaj +1 more source