Results 31 to 40 of about 136,965 (253)

Empowering Advanced Driver-Assistance Systems from Topological Data Analysis

Mathematics, 2021
We are interested in evaluating the state of drivers to determine whether they are attentive to the road or not by using motion sensor data collected from car driving experiments.
Tarek Frahi, Francisco Chinesta, Antonio Falcó, Alberto Badias, Elias Cueto, Hyung Yun Choi, Manyong Han, Jean-Louis Duval   +7 more
doaj   +1 more source

Topological Data Analysis

, 2022
It has been observed since a long time that data are often carrying interesting topological and geometric structures. Characterizing such structures and providing efficient tools to infer and exploit them is a challenging problem that asks for new mathematics and that is motivated by a real need from applications.
Boissonnat, Jean-Daniel, Chazal, Frédéric, Michel, Bertrand   +2 more
openaire   +3 more sources

Topological data analysis of zebrafish patterns [PDF]

Proceedings of the National Academy of Sciences, 2020
Self-organized pattern behavior is ubiquitous throughout nature, from fish schooling to collective cell dynamics during organism development. Qualitatively these patterns display impressive consistency, yet variability inevitably exists within pattern-forming systems on both microscopic and macroscopic scales.
Melissa R. McGuirl, Alexandria Volkening, Björn Sandstede   +2 more
openaire   +4 more sources

Identifying homogeneous subgroups of patients and important features: a topological machine learning approach

BMC Bioinformatics, 2021
Background This paper exploits recent developments in topological data analysis to present a pipeline for clustering based on Mapper, an algorithm that reduces complex data into a one-dimensional graph.
Ewan Carr, Mathieu Carrière, Bertrand Michel, Frédéric Chazal, Raquel Iniesta   +4 more
doaj   +1 more source

Challenges in Topological Object Data Analysis [PDF]

Sankhya A, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Patrangenaru, Vic, Bubenik, Peter, Paige, Robert L., Osborne, Daniel   +3 more
openaire   +2 more sources

Topological Data Analysis for Speech Processing

INTERSPEECH 2023, 2023
We apply topological data analysis (TDA) to speech classification problems and to the introspection of a pretrained speech model, HuBERT. To this end, we introduce a number of topological and algebraic features derived from Transformer attention maps and embeddings.
Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, Daniil Cherniavskii, Serguei Barannikov, Irina Piontkovskaya, Sergey I. Nikolenko, Evgeny Burnaev   +7 more
openaire   +5 more sources

Event history and topological data analysis [PDF]

Biometrika, 2020
Summary Persistent homology is used to track the appearance and disappearance of features as we move through a nested sequence of topological spaces. Equating the nested sequence to a filtration and the appearance and disappearance of features to events, we show that simple event history methods can be used for the analysis of ...
Garside K, Gjoka A, Henderson R, Johnson H, Makarenko I   +4 more
openaire   +4 more sources

Physics-informed convolutional neural networks for fluid flow through porous media

Scientific Reports
Accurate simulation of fluid flow in porous media is a challenging task due to the complexity of pore-space geometries and the computational cost of solving the Navier–Stokes equations.
Rafał Topolnicki, Paweł Dłotko, Maciej Matyka   +2 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

From Brain Lobes to Neurons: Navigating the Brain Using Advanced 3D Modeling and Visualization Tools

Journal of Imaging
Neuroscience 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, Ahmad Farhat, Reem Khalil   +2 more
doaj   +1 more source