Zobrazeno 1 - 10
of 5 746
pro vyhledávání: '"Khanal P"'
Autor:
Thapa Tika Bahadur, Pokhrel Sushant, Lamichhane Anit, Singh Vinay Kumar, Shrestha Ojaswee, Sapkota Manisha, Khanal Puspa Raj
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 1297-302 (2023)
Identifying and appropriately managing urinary tract infections (UTIs) among chronic kidney disease (CKD) patients are essential to reduce further disease complications and economic burden. Hence, this study aims to determine the prevalence of UTIs a
Externí odkaz:
https://doaj.org/article/32c9a312ccae4709b9f154ba4268f1fe
Autor:
Khanal, B. D., Balachandran, S., Chetri, S., Barron, M., Mullinix, R., Williams, A., Xu, P., Ingrole, A., Lee, P. J., Ciovati, G., Dhakal, P.
The trapped residual magnetic flux during the cool-down due to the incomplete Meissner state is a significant source of radio frequency losses in superconducting radio frequency (SRF) cavities. Here, we show a clear correlation between the niobium mi
Externí odkaz:
http://arxiv.org/abs/2410.02397
Autor:
Biswas, Debaditya, Gonzalez, Fernando Araiza, Henry, William, Karki, Abishek, Morean, Casey, Nadeeshani, Sooriyaarachchilage, Sun, Abel, Abrams, Daniel, Ahmed, Zafar, Aljawrneh, Bashar, Alsalmi, Sheren, Ambrose, George, Armstrong, Whitney, Asaturyan, Arshak, Assumin-Gyimah, Kofi, Gayoso, Carlos Ayerbe, Bandari, Anashe, Basnet, Samip, Berdnikov, Vladimir, Bhatt, Hem, Bhetuwal, Deepak, Boeglin, Werner, Bosted, Peter, Brash, Edward, Bukhari, Masroor, Chen, Haoyu, Chen, Jian-Ping, Chen, Mingyu, Christy, Michael Eric, Dusa, Silviu Covrig, Craycraft, Kayla, Danagoulian, Samuel, Day, Donal, Diefenthaler, Markus, Dlamini, Mongi, Dunne, James, Duran, Burcu, Dutta, Dipangkar, Ent, Rolf, Evans, Rory, Fenker, Howard, Fomin, Nadia, Fuchey, Eric, Gaskell, David, Gautam, Thir Narayan, Hansen, Jens-Ole, Hauenstein, Florian, Hernandez, A., Horn, Tanja, Huber, Garth, Jones, Mark, Joosten, Sylvester, Kabir, Md Latiful, Keppel, Cynthia, Khanal, Achyut, King, Paul, Kinney, Edward, Kohl, Michael, Lashley-Colthirst, Nathaniel, Li, Shujie, Li, Wenliang, Liyanage, Anusha Habarakada, Mack, David, Malace, Simona, Markowitz, Pete, Matter, John, Meekins, David, Michaels, Robert, Mkrtchyan, Arthur, Mkrtchyan, Hamlet, Moore, Zae, Nazeer, S. J., Nanda, Shirsendu, Niculescu, Gabriel, Niculescu, Maria, Nguyen, Huong, Nuruzzaman, Nuruzzaman, Pandey, Bishnu, Park, Sanghwa, Pooser, Eric, Puckett, Andrew, Rehfuss, Melanie, Reinhold, Joerg, Sawatzky, Bradley, Smith, G., Szumila-Vance, Holly, Tadepalli, Arun, Tadevosyan, Vardan, Trotta, Richard, Wood, Stephen, Yero, Carlos, Zhang, Jinlong
Nucleon structure functions, as measured in lepton-nucleon scattering, have historically provided a critical observable in the study of partonic dynamics within the nucleon. However, at very large parton momenta it is both experimentally and theoreti
Externí odkaz:
http://arxiv.org/abs/2409.15236
Autor:
Khanal, Bishwash, Capone, Jeffery M.
Large language models (LLMs) offer powerful capabilities but incur substantial computational costs, driving the need for efficient compression techniques. This study evaluates the impact of popular compression methods - Magnitude Pruning, SparseGPT,
Externí odkaz:
http://arxiv.org/abs/2409.11233
Autor:
Khanal, Bikram, Rivas, Pablo
Quantum Machine Learning (QML) has emerged as a promising field that combines the power of quantum computing with the principles of machine learning. One of the significant challenges in QML is dealing with noise in quantum systems, especially in the
Externí odkaz:
http://arxiv.org/abs/2409.07632
Autor:
Khanal, Bikram, Rivas, Pablo, Sanjel, Arun, Sooksatra, Korn, Quevedo, Ernesto, Rodriguez, Alejandro
Despite the mounting anticipation for the quantum revolution, the success of Quantum Machine Learning (QML) in the Noisy Intermediate-Scale Quantum (NISQ) era hinges on a largely unexplored factor: the generalization error bound, a cornerstone of rob
Externí odkaz:
http://arxiv.org/abs/2409.07626
Due to their text-to-image synthesis feature, diffusion models have recently seen a rise in visual perception tasks, such as depth estimation. The lack of good-quality datasets makes the extraction of a fine-grain semantic context challenging for the
Externí odkaz:
http://arxiv.org/abs/2409.06183
This paper presents a novel approach for structure-preserving planar simplification of indoor scene point clouds for both simulated and real-world environments. Initially, the scene point cloud undergoes preprocessing steps, including noise reduction
Externí odkaz:
http://arxiv.org/abs/2408.06814
Autor:
Khanal, Subash, Xing, Eric, Sastry, Srikumar, Dhakal, Aayush, Xiong, Zhexiao, Ahmad, Adeel, Jacobs, Nathan
A soundscape is defined by the acoustic environment a person perceives at a location. In this work, we propose a framework for mapping soundscapes across the Earth. Since soundscapes involve sound distributions that span varying spatial scales, we re
Externí odkaz:
http://arxiv.org/abs/2408.07050
Personalized 3D avatars require an animatable representation of digital humans. Doing so instantly from monocular videos offers scalability to broad class of users and wide-scale applications. In this paper, we present a fast, simple, yet effective m
Externí odkaz:
http://arxiv.org/abs/2407.11174