Mitra A 1

1. Evaluating machine learning models for supernova gravitational wave signal classification
2. Swiss-cheese cosmologies with variable G and Λ from the renormalization group
3. Bound on efficiency of heat engine from uncertainty relation viewpoint
4. Quantum cycle in relativistic non-commutative space with generalized uncertainty principle correction
5. Dual-Temperature Acceleration Radiation
6. Exploring alternative cosmologies with the LSST: Simulated forecasts and current observational constraints
7. Constraining HeII reionization detection uncertainties via fast radio bursts
8. Constraining the swiss-cheese IR-fixed point cosmology with cosmic expansion
9. Cosmology requirements on supernova photometric redshift systematics for the Rubin LSST and Roman Space Telescope
10. Cosmology with the Einstein telescope: No Slip Gravity model and redshift specifications
11. Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
12. Exploring supernova gravitational waves with machine learning
13. Probing nuclear physics with supernova gravitational waves and machine learning
14. Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era
15. Overweight effects on metabolic rate, time perception, diseases, aging, and lifespan: A systematic review with meta-regression analysis
16. Role of future SNIa data from Rubin LSST in reinvestigating cosmological models
17. Streamlining Global Germplasm Exchange: Integrating Scientific Rigor and Common Sense to Exclude Phantom Agents from Regulation
18. STATISTICAL AND AI MODELING OF UK AND FRANCE ELEVATOR ACCIDENTS AND THEIR VIOLATING SAFETY RULES
1