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From the 5 of 97 papers with an AI index.

most citedEdge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey

128 citations

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astro-ph.SR2026

Astrometric exoplanet detection survives solar-like stellar contamination

Conaire Deagan, Benjamin T. Montet, P. Tuthill +3

Astrometric monitoring of stars provides a promising method for discovery of low-mass planets around nearby Sun-like stars. The astronomical community has proposed several telescop…

astro-ph.SR2026

Asteroseismology of red giants in the globular cluster 47 Tuc using the HST

Dennis Stello, Timothy R. Bedding, Ronald L. Gilliland

Globular clusters provide unique opportunities to study stellar evolution -- as the second brightest cluster, 47 Tuc is a prime target. Asteroseismology can be used to measure prec…

astro-ph.SR2026

Global asteroseismology of 19,000 red giants in the TESS Continuous Viewing Zones

K. R. Sreenivas, Timothy R. Bedding, Daniel Huber +5

TESS (Transiting Exoplanet Survey Satellite) has produced long-term photometry for millions of stars across the sky. In this work, we present an asteroseismic catalogue of 19,151 r…

astro-ph.SR20262 cited

Inferring hemispheric asymmetries of stellar active regions through the information content of astrometric signals

Conaire Deagan, Benjamin T. Montet

Photometric light curves suffer from fundamental degeneracies that limit surface information recovery. We demonstrate that astrometry enables access to complementary information th…

astro-ph.SR202610 cited

Identifying 850 delta Scuti pulsators in a narrow Gaia colour range with TESS 10-minute full-frame images

Amelie K. Read, Timothy R. Bedding, Prasad Mani +7

We use TESS 10-minute Full Frame Images (Sectors 27-55) to study a sample of 1708 stars within 500 pc of the Sun that lie in a narrow colour range in the centre of the delta Scuti…