Results 81 to 90 of about 7,249,127 (302)

Using Topological Data Analysis (TDA) and Persistent Homology to Analyze the Stock Markets in Singapore and Taiwan

Frontiers of Physics, 2021
In recent years, persistent homology (PH) and topological data analysis (TDA) have gained increasing attention in the fields of shape recognition, image analysis, data analysis, machine learning, computer vision, computational biology, brain functional ...
Peter Tsung-Wen Yen, S. Cheong
semanticscholar   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

Topological Data Analysis in Natural Language Processing -- A Tutorial

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
Topological Data Analysis (TDA) introduces methods that capture the underlying structure of shapes in data. Within the last two decades, TDA has been mostly examined in unsupervised machine learning tasks.
Wlodek Zadrozny
doaj   +1 more source

Persistent topology for cryo‐EM data analysis [PDF]

International Journal for Numerical Methods in Biomedical Engineering, 2015
SummaryIn this work, we introduce persistent homology for the analysis of cryo‐electron microscopy (cryo‐EM) density maps. We identify the topological fingerprint or topological signature of noise, which is widespread in cryo‐EM data. For low signal‐to‐noise ratio (SNR) volumetric data, intrinsic topological features of biomolecular structures are ...
Xia, Kelin, Wei, Guo-Wei
openaire   +3 more sources

Design and Prototyping of Topology‐Optimized, Additively Manufactured Lightweight Components for Space Robotic Systems: A Case Study

Advanced Engineering Materials, EarlyView.
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos, Grigorios Kostopoulos, Eleni Papadopoulou, Stefanos Voulgaris, Alexandra Tseni, Panteleimon Bakalis, Maria N. Gkara, Chara Ch. Mitropoulou, Georgios Kazakis, Alin Munteanu, Jeremi Gancet, Nikos D. Lagaros   +11 more
wiley   +1 more source

On the Bootstrap for Persistence Diagrams and Landscapes

Моделирование и анализ информационных систем, 2013
Persistent homology probes topological properties from point clouds and functions. By looking at multiple scales simultaneously, one can record the births and deaths of topological features as the scale varies.
F. Chazal, B.T. Fasy, F. Lecci, A. Rinaldo, A. Singh, L. Wasserman   +5 more
doaj   +1 more source

Single Pair of Weyl Points Evolve From Spin Group‐Protected Nodal Line in Half‐Metallic Ferromagnet V3S4

Advanced Functional Materials, EarlyView.
A spin group (SG)‐based mechanism is proposed to realize a single pair of Weyl points. PT‐symmetric nodal lines (NLs) persist under T‐breaking, protected by the combination of SG and P symmetry. When considering spin‐orbit coupling, the SG‐protected NL will split into Weyl points, which will also induce anomalous transport phenomena arising from ...
Shifeng Qian, Yao Zhang, Xiaowei Sheng, Xiuxian Yang, Gang Zhang, Junfeng Gao, Xiaotian Wang   +6 more
wiley   +1 more source

Interpretable machine learning for atomic scale magnetic anisotropy in quantum materials

npj Computational Materials
The rising demand for digital storage and environmental concerns necessitate ultra-high-density, energy-efficient solutions. Atomic-scale magnets (ASMs) based on transition metal (TM) dimers on defective graphene exhibit promising magnetic anisotropy ...
Jan Navrátil, Rafał Topolnicki, Michal Otyepka, Piotr Błoński   +3 more
doaj   +1 more source

Discerning dynamics in synchrophasor data using topological data analysis

International Journal of Electrical Power & Energy Systems
This paper explores the application of topological data analysis (TDA) for capturing relevant dynamic behavior (modes) in ambient synchrophasor data. In frequency domain, dominant dynamics correspond to prominent spectral peaks, which persist under a ...
Chetan Mishra, Luigi Vanfretti, Jaime Delaree, Jr., Kevin D. Jones   +3 more
doaj   +1 more source

A topological data analysis based classification method for multiple measurements

BMC Bioinformatics, 2020
Background Machine learning models for repeated measurements are limited. Using topological data analysis (TDA), we present a classifier for repeated measurements which samples from the data space and builds a network graph based on the data topology.
Henri Riihimäki, Wojciech Chachólski, Jakob Theorell, Jan Hillert, Ryan Ramanujam   +4 more
doaj   +1 more source