Zobrazeno 1 - 10
of 4 909
pro vyhledávání: '"Bhuvanesh, A."'
This study presents an approach to developing a model for classifying abnormalities in video capsule endoscopy (VCE) frames. Given the challenges of data imbalance, we implemented a tiered augmentation strategy using the albumentations library to enh
Externí odkaz:
http://arxiv.org/abs/2411.01479
Autor:
Maciejewski, Filip B., Bach, Bao Gia, Dupont, Maxime, Lott, P. Aaron, Sundar, Bhuvanesh, Neira, David E. Bernal, Safro, Ilya, Venturelli, Davide
Quantum approximate optimization is one of the promising candidates for useful quantum computation, particularly in the context of finding approximate solutions to Quadratic Unconstrained Binary Optimization (QUBO) problems. However, the existing qua
Externí odkaz:
http://arxiv.org/abs/2408.07793
Autor:
Owoyele, Babajide Alamu, Schilling, Martin, Sawahn, Rohan, Kaemer, Niklas, Zherebenkov, Pavel, Verma, Bhuvanesh, Pouw, Wim, de Melo, Gerard
This paper introduces MaskAnyone, a novel toolkit designed to navigate some privacy and ethical concerns of sharing audio-visual data in research. MaskAnyone offers a scalable, user-friendly solution for de-identifying individuals in video and audio
Externí odkaz:
http://arxiv.org/abs/2408.03185
Autor:
Sundar, Bhuvanesh, Dupont, Maxime
Quantum optimization solvers typically rely on one-variable-to-one-qubit mapping. However, the low qubit count on current quantum computers is a major obstacle in competing against classical methods. Here, we develop a qubit-efficient algorithm that
Externí odkaz:
http://arxiv.org/abs/2407.15539
Autor:
Khan, Muhammad Miskeen, Chaparro, Edwin, Sundar, Bhuvanesh, Carter, Allison, Bollinger, John, Molmer, Klaus, Rey, Ana Maria
We propose the use of phonon$\unicode{x2013}$mediated interactions as an entanglement resource to engineer Einstein$\unicode{x2013}$Podolsky$\unicode{x2013}$Rosen (EPR) correlations and to perform teleportation of collective spin states in two$\unico
Externí odkaz:
http://arxiv.org/abs/2405.19536
Autor:
Verma, Bhuvanesh, Raithel, Lisa
The NLI4CT task at SemEval-2024 emphasizes the development of robust models for Natural Language Inference on Clinical Trial Reports (CTRs) using large language models (LLMs). This edition introduces interventions specifically targeting the numerical
Externí odkaz:
http://arxiv.org/abs/2405.00321
Autor:
Dupont, Maxime, Sundar, Bhuvanesh, Evert, Bram, Neira, David E. Bernal, Peng, Zedong, Jeffrey, Stephen, Hodson, Mark J.
Achieving high-quality solutions faster than classical solvers on computationally hard problems is a challenge for quantum optimization to deliver utility. Using a superconducting quantum computer, we experimentally investigate the performance of a h
Externí odkaz:
http://arxiv.org/abs/2404.17579
Autor:
Zhang, Zewen, Paredes, Roger, Sundar, Bhuvanesh, Quiroga, David, Kyrillidis, Anastasios, Duenas-Osorio, Leonardo, Pagano, Guido, Hazzard, Kaden R. A.
The SAT problem is a prototypical NP-complete problem of fundamental importance in computational complexity theory with many applications in science and engineering; as such, it has long served as an essential benchmark for classical and quantum algo
Externí odkaz:
http://arxiv.org/abs/2402.02585
Publikováno v:
Phys. Rev. A, 109, 013713 (2024)
We utilize multilevel atoms trapped in a driven resonant optical cavity to produce scalable multi-mode squeezed states for quantum sensing and metrology. While superradiance or collective dissipative emission by itself has been typically a detrimenta
Externí odkaz:
http://arxiv.org/abs/2309.10717
Autor:
Bhuvanesh Kumar, Dipasha Agarwal, Durga Shankar Meena, Shruti Vaswani, Dangeti Sowmya Sri, Deepak Kumar, Abhishek Purohit, Pawan Garg
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-6 (2024)
Abstract Background Tuberculosis is a highly prevalent disease in India, while Histoplasmosis, an emerging disease, is often underreported due to limited resources in developing countries. Coinfection with both these organisms is rarely documented in
Externí odkaz:
https://doaj.org/article/1a06fc832e7941a2a57041a39f12b7ce
