Zobrazeno 1 - 10
of 12 281
pro vyhledávání: '"Veena, P."'
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:
Christensen, I. Barlach, Wyrowski, F., Veena, V. S., Beuther, H., Semenov, D., Menten, K. M., Jacob, A. M., Kim, W. -J., Cunningham, N., Gieser, C., Hacar, A., Li, S., Schneider, N., Skretas, I., Winters, J. M.
Publikováno v:
A&A 688, A215 (2024)
Deuterated molecules and their molecular D/H-ratios (RD(D)) are important diagnostic tools to study the physical conditions of star-forming regions. The degree of deuteration, RD(D), can be significantly enhanced over the elemental D/H-ratio dependin
Externí odkaz:
http://arxiv.org/abs/2406.09145
Autor:
Chung, Moo K., Che, Ji Bi, Nair, Veena A., Ramos, Camille Garcia, Mathis, Jedidiah Ray, Prabhakaran, Vivek, Meyerand, Elizabeth, Hermann, Bruce P., Binder, Jeffrey R., Struck, Aaron F.
We introduce a novel, data-driven topological data analysis (TDA) approach for embedding brain networks into a lower-dimensional space in quantifying the dynamics of temporal lobe epilepsy (TLE) obtained from resting-state functional magnetic resonan
Externí odkaz:
http://arxiv.org/abs/2405.07835