Zobrazeno 1 - 10
of 2 073
pro vyhledávání: '"A. Jayashankar"'
Autor:
Jayashankar, Rakshitha, Balan, Mahesh
Success in todays data-driven corporate climate requires a deep understanding of employee behavior. Companies aim to improve employee satisfaction, boost output, and optimize workflow. This research study delves into creating synthetic data, a powerf
Externí odkaz:
http://arxiv.org/abs/2409.14197
Autor:
Lancho, Alejandro, Weiss, Amir, Lee, Gary C. F., Jayashankar, Tejas, Kurien, Binoy, Polyanskiy, Yury, Wornell, Gregory W.
This paper addresses the critical problem of interference rejection in radio-frequency (RF) signals using a novel, data-driven approach that leverages state-of-the-art AI models. Traditionally, interference rejection algorithms are manually tailored
Externí odkaz:
http://arxiv.org/abs/2409.08839
Autor:
Tsemo, Peniel Bertrand, Jayashankar, Akshaya, Sugisaki, K., Baskaran, Nishanth, Chakraborty, Sayan, Prasannaa, V. S.
Although the Harrow-Hassidim-Lloyd (HHL) algorithm offers an exponential speedup in system size for treating linear equations of the form $A\vec{x}=\vec{b}$ on quantum computers when compared to their traditional counterparts, it faces a challenge re
Externí odkaz:
http://arxiv.org/abs/2407.21641
Autor:
Jayashankar, Rakshitha, Balan, Mahesh
Understanding employee behavior in a workplace is critical for enhancing overall organizational performance. Despite numerous efforts to improve work environments, many organizations still need help with challenges primarily rooted in unaddressed iss
Externí odkaz:
http://arxiv.org/abs/2407.09581
Autor:
Lindsay N. Carpp, Ollivier Hyrien, Youyi Fong, David Benkeser, Sanne Roels, Daniel J. Stieh, Ilse Van Dromme, Griet A. Van Roey, Avi Kenny, Ying Huang, Marco Carone, Adrian B. McDermott, Christopher R. Houchens, Karen Martins, Lakshmi Jayashankar, Flora Castellino, Obrimpong Amoa-Awua, Manjula Basappa, Britta Flach, Bob C. Lin, Christopher Moore, Mursal Naisan, Muhammed Naqvi, Sandeep Narpala, Sarah O’Connell, Allen Mueller, Leo Serebryannyy, Mike Castro, Jennifer Wang, Christos J. Petropoulos, Alex Luedtke, Yiwen Lu, Chenchen Yu, Michal Juraska, Nima S. Hejazi, Daniel N. Wolfe, Jerald Sadoff, Glenda E. Gray, Beatriz Grinsztejn, Paul A. Goepfert, Linda-Gail Bekker, Aditya H. Gaur, Valdilea G. Veloso, April K. Randhawa, Michele P. Andrasik, Jenny Hendriks, Carla Truyers, An Vandebosch, Frank Struyf, Hanneke Schuitemaker, Macaya Douoguih, James G. Kublin, Lawrence Corey, Kathleen M. Neuzil, Dean Follmann, Richard A. Koup, Ruben O. Donis, Peter B. Gilbert, On behalf of the Immune Assays Team, the Coronavirus Vaccine Prevention Network (CoVPN)/ENSEMBLE Team, the United States Government (USG)/CoVPN Biostatistics Team
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Assessment of immune correlates of severe COVID-19 has been hampered by the low numbers of severe cases in COVID-19 vaccine efficacy (VE) trials. We assess neutralizing and binding antibody levels at 4 weeks post-Ad26.COV2.S vaccination as c
Externí odkaz:
https://doaj.org/article/e3fbd928bb5b421b95c9d27047187105
Autor:
Jayashankar Jayaprakash, Lipsa Rani Nath, Siddabasave Gowda B. Gowda, Divyavani Gowda, Shu-Ping Hui
Publikováno v:
Discover Food, Vol 4, Iss 1, Pp 1-24 (2024)
Abstract Lipids are one of the major biomolecules of our life with diverse structures and functions. Dietary lipids are an essential source of nutrients and energy for humans. Even though the mechanisms of dietary lipid absorption and transport are u
Externí odkaz:
https://doaj.org/article/bbeaa01dd7fd426a8472b03770931db3
Autor:
Chang, Che-Jui, Sohn, Samuel S., Zhang, Sen, Jayashankar, Rajath, Usman, Muhammad, Kapadia, Mubbasir
Previous studies regarding the perception of emotions for embodied virtual agents have shown the effectiveness of using virtual characters in conveying emotions through interactions with humans. However, creating an autonomous embodied conversational
Externí odkaz:
http://arxiv.org/abs/2309.15311
Autor:
Jayashankar, Tejas, Lee, Gary C. F., Lancho, Alejandro, Weiss, Amir, Polyanskiy, Yury, Wornell, Gregory W.
We propose a new method for separating superimposed sources using diffusion-based generative models. Our method relies only on separately trained statistical priors of independent sources to establish a new objective function guided by maximum a post
Externí odkaz:
http://arxiv.org/abs/2306.14411
Autor:
Bo Zhang, Youyi Fong, Jonathan Fintzi, Eric Chu, Holly E. Janes, Avi Kenny, Marco Carone, David Benkeser, Lars W. P. van der Laan, Weiping Deng, Honghong Zhou, Xiaowei Wang, Yiwen Lu, Chenchen Yu, Bhavesh Borate, Haiyan Chen, Isabel Reeder, Lindsay N. Carpp, Christopher R. Houchens, Karen Martins, Lakshmi Jayashankar, Chuong Huynh, Carl J. Fichtenbaum, Spyros Kalams, Cynthia L. Gay, Michele P. Andrasik, James G. Kublin, Lawrence Corey, Kathleen M. Neuzil, Frances Priddy, Rituparna Das, Bethany Girard, Hana M. El Sahly, Lindsey R. Baden, Thomas Jones, Ruben O. Donis, Richard A. Koup, Peter B. Gilbert, Dean Follmann, On behalf of the United States Government (USG) COVID-19 Immune Assays Team, Moderna, Inc. Team, Coronavirus Vaccine Prevention Network (CoVPN)/Coronavirus Efficacy (COVE) Team, USG/CoVPN Biostatistics Team
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract In the phase 3 Coronavirus Efficacy (COVE) trial (NCT04470427), post-dose two Ancestral Spike-specific binding (bAb) and neutralizing (nAb) antibodies were shown to be correlates of risk (CoR) and of protection against Ancestral-lineage COVI
Externí odkaz:
https://doaj.org/article/3b5ac665acef48f6bef0aa0502ebe57b
A singing voice conversion model converts a song in the voice of an arbitrary source singer to the voice of a target singer. Recently, methods that leverage self-supervised audio representations such as HuBERT and Wav2Vec 2.0 have helped further the
Externí odkaz:
http://arxiv.org/abs/2303.12197