7 citations · 8 across the 3 of their papers we have counts for
3 papers
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…
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…
Introduction of Machine Learning for Astronomy (Hands-on Workshop)
Yu Wang, Rahim Moradi, Mohammad H. Zhoolideh Haghighi +1
This article is based on the tutorial we gave at the hands-on workshop of the ICRANet-ISFAHAN Astronomy Meeting. We first introduce the basic theory of machine learning and sort ou…