4 papers
Machine learning-based classification of variable stars using phase-folded light curves
Almat Akhmetali, Alisher Zhunuskanov, Timur Namazbayev +4
Classifying variable stars is crucial for advancing our understanding of stellar evolution and dynamics. As large-scale surveys generate increasing volumes of light curve data, the…
Luminis Stellarum et Machina: Applications of Machine Learning in Light Curve Analysis
Almat Akhmetali, Alisher Zhunuskanov, Aknur Sakan +4
The rapid advancement of observational capabilities in astronomy has led to an exponential growth in the volume of light curve (LC) data, creating both opportunities and challenges…
MEGA: Maximum-Entropy Genetic Algorithm for Router Nodes Placement in Wireless Mesh Networks
N. Ussipov, S. Akhtanov, D. Turlykozhayeva +7
Over the past decade, Wireless Mesh Networks (WMNs) have seen significant advancements due to their simple deployment, cost-effectiveness, ease of implementation and reliable servi…
Automatic modulation classification for MIMO system based on the mutual information feature extraction
N. Ussipov, S. Akhtanov, Z. Zhanabaev +6
Automatic Modulation Classification (AMC) is an essential technology that is widely applied into various communications scenarios. In recent years, many Machine Learning and Deep-L…