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20232026
most citedClusternets: A deep learning approach to probe clustering dark energy

3 citations · 5 across the 4 of their papers we have counts for

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2 papers · 1 filter

astro-ph.GA2025

Assessing Galaxy Rotation Kinematics: Insights from Convolutional Neural Networks on Velocity Variations

Amirmohammad Chegeni, Fatemeh Fazel Hesar, Mojtaba Raouf +2

Distinguishing galaxies as either fast or slow rotators plays a vital role in understanding the processes behind galaxy formation and evolution. Standard techniques, which are base…

astro-ph.IM2025★ 2 cited

Reducing false positives in strong lens detection through effective augmentation and ensemble learning

Samira Rezaei, Amirmohammad Chegeni, Bharath Chowdhary Nagam +4

This research studies the impact of high-quality training datasets on the performance of Convolutional Neural Networks (CNNs) in detecting strong gravitational lenses. We stress th…