Zobrazeno 1 - 10
of 41 341
pro vyhledávání: '"A. Veena"'
Autor:
Deepshikha Mehrotra, Rajmohan Y. Shetty, Jayaprakasha Shetty, B. Mohana Kumar, A. Veena Shetty, Shraddha Shetty, Rashmi N. Shetty
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 16, Iss Suppl 3, Pp S2046-S2048 (2024)
Background: Since the introduction of amalgam for tooth fillings, there have been concerns that mercury toxicity could pose unacceptable health risks. Rasa shastra is an ancient medical discipline that focuses on the utilization of metals and mineral
Externí odkaz:
https://doaj.org/article/62fcc516b47646ed90688cad8d2e810f
This article describes the development of a novel U-Net-enhanced Wavelet Neural Operator (U-WNO),which combines wavelet decomposition, operator learning, and an encoder-decoder mechanism. This approach harnesses the superiority of the wavelets in tim
Externí odkaz:
http://arxiv.org/abs/2411.16890
Autor:
Francis, Mathew C., Prabhakaran, Veena
Let $S$ be an independent set of a simple undirected graph $G$. Suppose that each vertex of $S$ has a token placed on it. The tokens are allowed to be moved, one at a time, by sliding along the edges of $G$, so that after each move, the vertices havi
Externí odkaz:
http://arxiv.org/abs/2410.07060
This work investigates the impact of different Modified Gravity (MG) models on the large-scale structures (LSS) properties in relation to the cosmic web (CW), using N-body simulations of f(R) and nDGP models. We analyse the impact of the MG effect on
Externí odkaz:
http://arxiv.org/abs/2408.13219
Autor:
Shang, Liang, Lou, Zhengyang, Alexander, Andrew L., Prabhakaran, Vivek, Sethares, William A., Nair, Veena A., Adluru, Nagesh
Deep neural networks have demonstrated exceptional efficacy in stroke lesion segmentation. However, the delineation of small lesions, critical for stroke diagnosis, remains a challenge. In this study, we propose two straightforward yet powerful appro
Externí odkaz:
http://arxiv.org/abs/2408.02929
Autor:
Veena, V. S., Kim, W. -J., Sanchez-Monge, Alvaro, Schilke, P., Menten, K. M., Fuller, G. A., Sormani, M. C., Wyrowski, F., Banda-Barragan, W. E., Riquelme, D., Tarrio, P., de Vicente, P.
Publikováno v:
A&A 689, A121 (2024)
The expanding molecular ring (EMR) manifests itself as a parallelogram in the position-velocity diagram of spectral line emission from the Central Molecular Zone (CMZ) surrounding the Galacic centre (GC). Using multiwavelength data, we investigate th
Externí odkaz:
http://arxiv.org/abs/2407.14338
Autor:
Medina, S. -N. X., Dzib, S. A., Urquhart, J. S., Yang, A. Y., Brunthaler, A., Menten, K. M., Wyrowski, F., Cotton, W. D., Cheema, A., Dokara, R., Gong, Y., Khan, S., Nguyen, H., Ortiz-Leon, G. N., Rugel, M. R., Veena, V. S., Beuther, H., Csengeri, T., Pandian, J. D., Roy, N.
Publikováno v:
A&A 689, A196 (2024)
The GLOSTAR survey studies star formation with the VLA and the Effelsberg 100m telescope in the Galactic plane (-2d
Externí odkaz:
http://arxiv.org/abs/2407.12585
Autor:
Khan, S., Rugel, M. R., Brunthaler, A., Menten, K. M., Wyrowski, F., Urquhart, J. S., Gong, Y., Yang, A. Y., Nguyen, H., Dokara, R., Dzib, S. A., Medina, S. -N. X., Ortiz-León, G. N., Pandian, J. D., Beuther, H., Veena, V. S., Neupane, S., Cheema, A., Reich, W., Roy, N.
Publikováno v:
A&A 689, A81 (2024)
Studies of Galactic HII regions are of crucial importance for studying star formation and the evolution of the interstellar medium. Gaining an insight into their physical characteristics contributes to a more comprehensive understanding of these phen
Externí odkaz:
http://arxiv.org/abs/2407.05770
Autor:
Cirne, Dalmo, Calambur, Veena
Artificial Intelligence (AI) and Machine Learning (ML) providers have a responsibility to develop valid and reliable systems. Much has been discussed about trusting AI and ML inferences (the process of running live data through a trained AI model to
Externí odkaz:
http://arxiv.org/abs/2407.05919
Autor:
P. Divya Kumari, A. Veena Shetty, Shahnawaz Khijmatgar, Avidyuti Chowdhury, Edward Lynch, Chitta R. Chowdhury
Publikováno v:
Journal of Oral Biology and Craniofacial Research, Vol 9, Iss 1, Pp 5-9 (2019)
Background: The mutagenicity potential of a new atraumatic restorative treatment (ART) material against Salmonella typhimurium without metabolic activity using the Ames test (genotoxicity) was carried out. Methods and materials: The potential mutagen
Externí odkaz:
https://doaj.org/article/c005fa082b7249f394cff08ffb9eeb1d