activity
20202026
most citedDeep learning-based identification of precipitation clouds from all-sky camera data for observatory safety

7 citations · 8 across the 5 of their papers we have counts for

collaborators

7 papers

astro-ph.GA2026

Machine Learning-Based Classification of Active Galaxies and Estimation of Supermassive Black Hole Masses

Farideh Mazoochi, Reihaneh Karimi, Mohammad Hossein Zhoolideh Haghighi +1

Distinguishing active galaxies from star-forming galaxies is essential for understanding galaxy evolution. Diagnostic methods like the BPT (Baldwin, Phillips, and Terlevich) diagra…

gr-qc2025

Cosmology in generalized hybrid metric-Palatini with matter-geometry coupling

Reza Jalali, Shahab Shahidi, Mohammad Hossein Zhoolideh Haghighi

Cosmological implications of a class of hybrid metric-Palatini gravity with a non-minimal matter-geometry coupling is considered. The theory contains a metric curvature tensor, tog…

astro-ph.EP2025

Machine Learning for Exoplanet Detection: A Comparative Analysis Using Kepler Data

Reihaneh Karimi, Mahdiyar Mousavi-Sadr, Mohammad H. Zhoolideh Haghighi +1

The discovery of exoplanets has expanded our understanding of planetary systems and opened new avenues for astronomical research. In this study, we present a machine learning (ML)…

astro-ph.IM2025★ 7 cited

Deep learning-based identification of precipitation clouds from all-sky camera data for observatory safety

Mohammad H. Zhoolideh Haghighi, Alireza Ghasrimanesh, Habib Khosroshahi

For monitoring the night sky conditions, wide-angle all-sky cameras are used in most astronomical observatories to monitor the sky cloudiness. In this manuscript, we apply a deep-l…

astro-ph.IM2023★ 1 cited

Analyzing Astronomical Data with Machine Learning Techniques

Mohammad H. Zhoolideh Haghighi

Classification is a popular task in the field of Machine Learning (ML) and Artificial Intelligence (AI), and it happens when outputs are categorical variables. There are a wide var…

cond-mat.stat-mech2020

Phase transition in Modified Newtonian Dynamics (MONDian) self-gravitating systems

Mohammad H. Zhoolideh Haghighi, Sohrab Rahvar, M Reza Rahimi Tabar

We study the statistical mechanics of binary systems under gravitational interaction of the Modified Newtonian Dynamics (MOND) in three-dimensional space. Considering the binary sy…