Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Kartheek, P."'
In the cops and robber game, there are multiple cops and a single robber taking turns moving along the edges of a graph. The goal of the cops is to capture the robber (move to the same vertex as the robber) and the goal of the robber is to avoid capt
Externí odkaz:
http://arxiv.org/abs/2412.02511
Autor:
Suresh, Ullas P., R, Karthik, Ajith, K. M., Hegde, Kartheek, Punacha, Shreyas, Kumara, A. Naveena
We demonstrate that the spinning LQG black hole can act as a cosmic particle accelerator. The LQG solution is singularity-free and can possess spin greater than that of a Kerr black hole. The additional black hole hair, arising from quantum effects,
Externí odkaz:
http://arxiv.org/abs/2408.15828
Autor:
Zhu, Yiwen, Tian, Yuanyuan, Cahoon, Joyce, Krishnan, Subru, Agarwal, Ankita, Alotaibi, Rana, Camacho-Rodríguez, Jesús, Chundatt, Bibin, Chung, Andrew, Dutta, Niharika, Fogarty, Andrew, Gruenheid, Anja, Haynes, Brandon, Interlandi, Matteo, Iyer, Minu, Jurgens, Nick, Khushalani, Sumeet, Kroth, Brian, Kumar, Manoj, Leeka, Jyoti, Matusevych, Sergiy, Mittal, Minni, Mueller, Andreas, Muthyala, Kartheek, Nagulapalli, Harsha, Park, Yoonjae, Patel, Hiren, Pavlenko, Anna, Poppe, Olga, Ravindran, Santhosh, Saur, Karla, Sen, Rathijit, Suh, Steve, Tarafdar, Arijit, Waghray, Kunal, Wang, Demin, Curino, Carlo, Ramakrishnan, Raghu
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunit
Externí odkaz:
http://arxiv.org/abs/2405.01813
Autor:
Bhattacharya, Paheli, Chakraborty, Manojit, Palepu, Kartheek N S N, Pandey, Vikas, Dindorkar, Ishan, Rajpurohit, Rakesh, Gupta, Rishabh
Automating code documentation through explanatory text can prove highly beneficial in code understanding. Large Language Models (LLMs) have made remarkable strides in Natural Language Processing, especially within software engineering tasks such as c
Externí odkaz:
http://arxiv.org/abs/2310.16673
This paper introduces a novel line-of-sight (LoS) $\beta-\gamma$ terahertz (THz) channel model that closely mirrors physical reality by considering radiation trapping. Our channel model provides an exhaustive modeling of the physical phenomena includ
Externí odkaz:
http://arxiv.org/abs/2308.09821
The choice of the sensing matrix is crucial in compressed sensing. Random Gaussian sensing matrices satisfy the restricted isometry property, which is crucial for solving the sparse recovery problem using convex optimization techniques. However, tigh
Externí odkaz:
http://arxiv.org/abs/2307.10862
Publikováno v:
Al Ameen Journal of Medical Sciences, Vol 17, Iss 04, Pp 271-273 (2024)
The Afromed Senior Research Fellowship Program is designed to enhance the skills and knowledge of health professionals and students in medical and clinical research. This manuscript examines the scholarship of teaching and learning (SoTL) within the
Externí odkaz:
https://doaj.org/article/858710ee32cd4e77a8ed118ce756bd67
High-dimensional data is common in multiple areas, such as health care and genomics, where the number of features can be tens of thousands. In such scenarios, the large number of features often leads to inefficient learning. Constraint generation met
Externí odkaz:
http://arxiv.org/abs/2306.06649
Autor:
Kartheek Guthikonda, Jeevithan Shanmugam, Seetharaman Cannane, Gopinath Periaswamy, Navya Christopher, Mathew Cherian
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss 4, Pp 363-370 (2024)
Introduction: Rotator cuff tears are common musculoskeletal injuries, often associated with fatty degeneration (FD) of the rotator cuff muscles. While MRI has been the gold standard for assessing FD, dual-energy CT (DECT) shows promise in providing q
Externí odkaz:
https://doaj.org/article/6bd7815289dc4d8292ec8bc320500a91
Autor:
Bondugula, Kartheek, Álvarez, Verónica, Segovia-Martín, José I., Pérez, Aritz, Mazuelas, Santiago
Libraries for supervised classification have enabled the wide-spread usage of machine learning methods. Existing libraries, such as scikit-learn, caret, and mlpack, implement techniques based on the classical empirical risk minimization (ERM) approac
Externí odkaz:
http://arxiv.org/abs/2108.01952