Mathura
Uttar Pradesh
India
GLA University
$f(R, \mathcal{L}_{m})$ gravity \sep flat FLRW space-time \sep EOS parameter \sep Observational constraints \sep Energy conditions
LRS Bianchi-I, Viscosity parameterization, Statefinder diagnosis. PACS: 98.80.-k
LRS Bianchi-I, Viscosity parameterization, Statefinder diagnosis, Transit universe, Observational constraints, Computational analysis
Rastall's Gravity, FRW space-time, Observational constraints, Deep Learning Approach
$f(R, \mathcal{L}_{m})$ gravity, logarithm EOS parameter, cosmological parameters, energy conditions.
structure - dark matterUniversal rotation curveWormhole
Bianchi I spacetime, General Relativity, observational constraints, machine learning techniques
Rastall theory, dark energy, dark energy model, data analysis, energy conditions
Machine Learning, Polynomial regression, ANN, Linear regression with RANSAC
