3 citations · 5 across the 4 of their papers we have counts for
4 papers
Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
Fatemeh Fazel Hesar, Mojtaba Raouf, Amirmohammad Chegeni +5
We present an innovative, cost-effective framework integrating laboratory Hyperspectral Imaging (HSI) of the Bechar010 Lunar meteorite with ground-based lunar HSI and supervised Ma…
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…
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…
Clusternets: A deep learning approach to probe clustering dark energy
Amirmohammad Chegeni, Farbod Hassani, Alireza Vafaei Sadr +2
Machine Learning (ML) algorithms are becoming popular in cosmology for extracting valuable information from cosmological data. In this paper, we evaluate the performance of a Convo…