4 papers
RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images
M. S. Hossain, M. S. H. Shahal, K. M. B. Asad +10
Bent radio active galactic nuclei (RAGNs) -- wide-angle tails (WATs) and narrow-angle tails (NATs) -- trace dense environments in galaxy groups and clusters, yet no multiclass clas…
Semi-classical Imprint of Horizon Induced Instability
Arnab Chakraborty, Onirban Islam, Arshad Momen
We consider an inverted harmonic oscillator in the space of square-integrable functions on the circle and compute its density of states employing…
BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh
Mir Sazzat Hossain, Ovi Paul, Md Akil Raihan Iftee +7
Land Use Land Cover (LULC) mapping using deep learning significantly enhances the reliability of LULC classification, aiding in understanding geography, socioeconomic conditions, p…
RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification
Mir Sazzat Hossain, Khan Muhammad Bin Asad, Payaswini Saikia +7
We introduce a novel machine learning dataset tailored for the classification of bent radio active galactic nuclei (AGN) in astronomical observations. Bent radio AGN, distinguished…