Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Aneesh, S."'
Autor:
Deogan, Aneesh S.1 (AUTHOR) a.s.deogan@tue.nl, Dilz, Roeland2 (AUTHOR) r.dilz@tue.nl, Caratelli, Diego2,3 (AUTHOR) d.caratelli@tue.nl
Publikováno v:
Mathematics (2227-7390). Apr2024, Vol. 12 Issue 7, p932. 17p.
Publikováno v:
Mathematics, Vol 12, Iss 7, p 932 (2024)
Fractional derivative operators are finding applications in a wide variety of fields with their ability to better model certain phenomena exhibiting spatial and temporal nonlocality. One area in which these operators are applicable is in the field of
Externí odkaz:
https://doaj.org/article/367680ef445b496f93e6e874bbb21b1a
We revisit a family of ultra-static Lorentzian wormholes which includes Ellis-Bronnikov spacetime as a special case. We first show how the required total matter stress energy (which violates the local energy conditions) may be split into a part due t
Externí odkaz:
http://arxiv.org/abs/1910.08746
Autor:
Sathish, S., Aneesh, S., Naveen Vigneshwaran, S., Nithish Kumar, E.K., Ravichandran, M., Anaz Khan, Muhammed
Publikováno v:
In Materials Today: Proceedings
Publikováno v:
In Materials Today: Proceedings 2023 80 Part 2:1162-1167
Quasinormal modes of a two-parameter family of Lorentzian wormhole spacetimes, which arise as solutions in a specific scalar-tensor theory associated with braneworld gravity, are obtained using standard numerical methods. Being solutions in a scalar-
Externí odkaz:
http://arxiv.org/abs/1803.10204
Autor:
Wu, Zhenqin, Ramsundar, Bharath, Feinberg, Evan N., Gomes, Joseph, Geniesse, Caleb, Pappu, Aneesh S., Leswing, Karl, Pande, Vijay
Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger datasets have enabled machine learning algorithms to make increasingly accurate predictions about molecular properties. However,
Externí odkaz:
http://arxiv.org/abs/1703.00564
Publikováno v:
Kerala Journal of Psychiatry, Vol 35, Iss 1, Pp 9-15 (2022)
Background: Intimate Partner Violence (IPV) among spouses have been associated with increased common mental disorders (CMDs) and poor quality of life in women. But this relationship has not received adequate research attention. Aim: To study the prev
Externí odkaz:
https://doaj.org/article/7b551c9d6bab49a7a60f071f98afef92
Recent advances in machine learning have made significant contributions to drug discovery. Deep neural networks in particular have been demonstrated to provide significant boosts in predictive power when inferring the properties and activities of sma
Externí odkaz:
http://arxiv.org/abs/1611.03199
Autor:
Dhore-Patil, Aneesh S., Aneja, Ashish
Publikováno v:
In Heart Failure Clinics January 2021 17(1):41-56