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Anil Kumar Yadav

United College of Engineering and Research

SCHOLARLY PAPERS

4

DOWNLOADS

231

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

A Framework for Estimating Cosmological Parameters Using Observational Cosmology and Artificial Neural Networks in $F(R, T)$ Gravity

Number of pages: 18 Posted: 20 Nov 2024
Lokesh Kumar Sharma, Anil Kumar Yadav, Suresh Parekh, Nafis Ahmad and Ali Mohammad Alshehri
GLA University, United College of Engineering and Research, Savitribai Phule Pune University, King Khalid University and King Khalid University
Downloads 78 (816,709)

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Cosmological parameters, Observational cosmology, Computational approaches, Machine learning, Neural networks

2.

Observational Constraints Using Bayesian Statistics and Deep Learning in Kaniadakis Holographic Dark Energy

Number of pages: 16 Posted: 28 Nov 2024
Anil Kumar Yadav, Lokesh Kumar Sharma and Kapil NA
United College of Engineering and Research, GLA University and GLA University
Downloads 68 (891,180)

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KHDE, FLRW Universe, Deep Learing, Bayesian MCMC Method

3.

Thermodynamics of Homogeneous and Isotropic Universe for Various Dark Energy Conditions

Number of pages: 14 Posted: 07 Nov 2023
Neeru Goyal, Anil Kumar Yadav, Dr. Aditya Sharma Ghrera, Kangujam Priyokumar Singh, Tensubam Alexander Singh and Asem Jotin Meitei
ITM University - The NorthCap University, United College of Engineering and Research, ITM University - The NorthCap University, Manipur University, Bodoland University and Manipur University
Downloads 58 (989,921)

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Dark Energy, Accelerating Universe, Thermodynamics, energy conditions

4.

Reconstruction of Symmetric Teleparallel Gravity with Energy Conditions

Number of pages: 11 Posted: 05 Dec 2023
Irfan Mahmood, Hira Sohail, ALLAH DITTA, Salim H. Shekh and Anil Kumar Yadav
Shanghai University, affiliation not provided to SSRN, Shanghai University, SPM Science and Gilani Arts Commerce College - Department of Mathematics and United College of Engineering and Research
Downloads 27 (1,359,097)

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f(Q) gravity, Energy conditions, Late time acceleration