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pro vyhledávání: '"P, Nishith"'
Autor:
Dhungel, Sarik, Duggal, Gaurav, Ron, Dara, Tripathi, Nishith, Buehrer, R. Michael, Reed, Jeffrey H., Shah, Vijay K
The advent of 5G positioning techniques by 3GPP has unlocked possibilities for applications in public safety, vehicular systems, and location-based services. However, these applications demand accurate and reliable positioning performance, which has
Externí odkaz:
http://arxiv.org/abs/2410.18323
For a Kobayashi hyperbolic domain, Abate introduced the notion of small and big horospheres of a given radius at a boundary point with a pole. In this article, we investigate which domains have the property that closed big horospheres and closed smal
Externí odkaz:
http://arxiv.org/abs/2409.14114
Autor:
Shahriar, Sakib, Lund, Brady, Mannuru, Nishith Reddy, Arshad, Muhammad Arbab, Hayawi, Kadhim, Bevara, Ravi Varma Kumar, Mannuru, Aashrith, Batool, Laiba
As large language models (LLMs) continue to advance, evaluating their comprehensive capabilities becomes significant for their application in various fields. This research study comprehensively evaluates the language, vision, speech, and multimodal c
Externí odkaz:
http://arxiv.org/abs/2407.09519
Generating realistic electron microscopy (EM) images has been a challenging problem due to their complex global and local structures. Isola et al. proposed pix2pix, a conditional Generative Adversarial Network (GAN), for the general purpose of image-
Externí odkaz:
http://arxiv.org/abs/2404.00558
We propose a PDE-ODE model for tissue regeneration, obtained by parabolic upscaling from kinetic transport equations written for the mesoscopic densities of mesenchymal stem cells and chondrocytes which evolve in an artificial scaffold impregnated wi
Externí odkaz:
http://arxiv.org/abs/2403.04516
Autor:
Ashwani, Swagata, Hegde, Kshiteesh, Mannuru, Nishith Reddy, Jindal, Mayank, Sengar, Dushyant Singh, Kathala, Krishna Chaitanya Rao, Banga, Dishant, Jain, Vinija, Chadha, Aman
With the rise of Large Language Models(LLMs), it has become crucial to understand their capabilities and limitations in deciphering and explaining the complex web of causal relationships that language entails. Current methods use either explicit or i
Externí odkaz:
http://arxiv.org/abs/2402.18139
Pneumonia remains a leading cause of morbidity and mortality worldwide. Chest X-ray (CXR) imaging is a fundamental diagnostic tool, but traditional analysis relies on time-intensive expert evaluation. Recently, deep learning has shown immense potenti
Externí odkaz:
http://arxiv.org/abs/2401.02358
Autor:
Shad, Rohan, Zakka, Cyril, Kaur, Dhamanpreet, Fong, Robyn, Filice, Ross Warren, Mongan, John, Kalianos, Kimberly, Khandwala, Nishith, Eng, David, Leipzig, Matthew, Witschey, Walter, de Feria, Alejandro, Ferrari, Victor, Ashley, Euan, Acker, Michael A., Langlotz, Curtis, Hiesinger, William
Cardiac MRI allows for a comprehensive assessment of myocardial structure, function, and tissue characteristics. Here we describe a foundational vision system for cardiac MRI, capable of representing the breadth of human cardiovascular disease and he
Externí odkaz:
http://arxiv.org/abs/2312.00357
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 11, Pp 161-167 (2024)
Background: The quantitative analysis of Th1 and Th2 cytokines by in vitro challenged macrophages from tuberculosis (TB) patients of different clinical setting and healthy controls would enlighten our knowledge of macrophage efficiency at different a
Externí odkaz:
https://doaj.org/article/ca8e6ac57fdb40e3aac0aa1e6c342a1b
The Fourth Industrial Revolution, particularly Artificial Intelligence (AI), has had a profound impact on society, raising concerns about its implications and ethical considerations. The emergence of text generative AI tools like ChatGPT has further
Externí odkaz:
http://arxiv.org/abs/2308.02030