Data Science and Machine Learning
ORAL · L06 · ID: 3647675
Presentations
-
Benchmarking Transformer Models for the Classification of Gravitational-Wave Detector Glitches
ORAL
–
Presenters
-
Brian A Phillips
Baylor University
Authors
-
Brian A Phillips
Baylor University
-
Rudhresh Manoharan
Baylor University
-
Gerald B. Cleaver
Baylor University
-
-
Evaluating Deep Learning Models for Multiclass Classification of LIGO Gravitational Wave Glitches
ORAL
–
Presenters
-
Rudhresh Manoharan
Baylor University
Authors
-
Rudhresh Manoharan
Baylor University
-
Gerald B. Cleaver
Baylor University
-
-
Development of a SURF-based Lunar Terrain Relative Navigation (TRN) Model for Earth-Independent Spacecraft Localization
ORAL
–
Presenters
-
Andrew Newcomb
University of Dallas, Amentum / MSFC ESSCA
Authors
-
Andrew Newcomb
University of Dallas, Amentum / MSFC ESSCA
-
Peter J McDonough
Amentum/MSFC ESSCA, Amentum / MSFC ESSCA
-
Michaela Tarpley
Amentum / MSFC ESSCA
-
-
Application of the CR3BP To Modeling L1 Halo Orbits Using ASSET
ORAL
–
Presenters
-
Benjamin Vines
Amentum/MSFC ESSCA
Authors
-
Benjamin Vines
Amentum/MSFC ESSCA
-
Peter J McDonough
Amentum/MSFC ESSCA, Amentum / MSFC ESSCA
-
William B Stein
Amentum/MSFC ESSCA
-
-
The use of machine learning for fast predictions of neutron skins and dipole polarizabilities of nuclei to use in Bayesian inference of neutron star properties.
ORAL
–
Presenters
-
Carlos Davila
Texas A&M University-Commerce
Authors
-
Carlos Davila
Texas A&M University-Commerce
-
-
Constraining Neutron Star EoS Using Machine Learning and the CompOSE Database
ORAL
–
Presenters
-
Josiah Baker
Department of Physics and Astronomy at East Texas A&M University
Authors
-
Josiah Baker
Department of Physics and Astronomy at East Texas A&M University
-
Carlos Bertulani
Department of Physics and Astronomy at East Texas A&M University
-
Ronaldo Lobato
University of São Paulo
-