Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Agrawal, Anjali"'
Autor:
Ghasemi, Majid, Moosavi, Amir Hossein, Sorkhoh, Ibrahim, Agrawal, Anjali, Alzhouri, Fadi, Ebrahimi, Dariush
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) which focuses on training agents to make decisions by interacting with their environment to maximize cumulative rewards. An overview of RL is provided in this paper, which discus
Externí odkaz:
http://arxiv.org/abs/2408.07712
Subspace methods are powerful, noise-resilient methods that can effectively prepare ground states on quantum computers. The challenge is to get a subspace with a small condition number that spans the states of interest using minimal quantum resources
Externí odkaz:
http://arxiv.org/abs/2406.17037
Autor:
Agrawal, Anjali A., Job, Joshua, Wilson, Tyler L., Saadatmand, S. N., Hodson, Mark J., Mutus, Josh Y., Caesura, Athena, Johnson, Peter D., Elenewski, Justin E., Morrell, Kaitlyn J., Kemper, Alexander F.
Understanding the physics of strongly correlated materials is one of the grand challenge problems for physics today. A large class of scientifically interesting materials, from high-$T_c$ superconductors to spin liquids, involve medium to strong corr
Externí odkaz:
http://arxiv.org/abs/2406.06511
Quantum subspace diagonalization (QSD) methods are quantum-classical hybrid methods, commonly used to find ground and excited state energies by projecting the Hamiltonian to a smaller subspace. In applying these, the choice of subspace basis is criti
Externí odkaz:
http://arxiv.org/abs/2209.10571
Autor:
Salunke, Smita, Agrawal, Anjali, Walsh, Jennifer, Nunn, Anthony, Hughes, Kevin, Kuehl, Peter, Caivano, Grazia, Clapham, David, Thompson, Karen, Rumondor, Alfred, Enright, Brian, Sherratt, Philip
Publikováno v:
In European Journal of Pharmaceutics and Biopharmaceutics October 2024 203
Autor:
Agrawal, Anjali, Salunke, Smita, Rumondor, Alfred, Thompson, Karen, Caivano, Grazia, Walsh, Jennifer, Enright, Brian, Sherratt, Philip, Hughes, Kevin, Clapham, David, Kuehl, Peter
Publikováno v:
In European Journal of Pharmaceutics and Biopharmaceutics October 2024 203
Autor:
Singh, Anushikha, Lall, Brejesh, Panigrahi, B. K., Agrawal, Anjali, Agrawal, Anurag, Thangakunam, Balamugesh, Christopher, DJ
Background and Objective: Tuberculosis (TB) is a significant public health issue and a leading cause of death worldwide. Millions of deaths can be averted by early diagnosis and successful treatment of TB patients. Automated diagnosis of TB holds vas
Externí odkaz:
http://arxiv.org/abs/2011.09778
Autor:
Singh, Anushikha, Lall, Brejesh, Panigrahi, B. K., Agrawal, Anjali, Agrawal, Anurag, Christopher, DJ, Thangakunam, Balamugesh
A chest radiograph, commonly called chest x-ray (CxR), plays a vital role in the diagnosis of various lung diseases, such as lung cancer, tuberculosis, pneumonia, and many more. Automated segmentation of the lungs is an important step to design a com
Externí odkaz:
http://arxiv.org/abs/2011.09695
Autor:
Agrawal, Anjali, Kesharvani, Sujeet, Dwivedi, Gaurav, Choudhary, Tushar, Verma, Ritu, Verma, Puneet
Publikováno v:
In Science of the Total Environment 20 January 2024 909
Autor:
Malhotra, Aakarsh, Mittal, Surbhi, Majumdar, Puspita, Chhabra, Saheb, Thakral, Kartik, Vatsa, Mayank, Singh, Richa, Chaudhury, Santanu, Pudrod, Ashwin, Agrawal, Anjali
With increasing number of COVID-19 cases globally, all the countries are ramping up the testing numbers. While the RT-PCR kits are available in sufficient quantity in several countries, others are facing challenges with limited availability of testin
Externí odkaz:
http://arxiv.org/abs/2008.03205