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pro vyhledávání: '"Bhalla A"'
Autor:
Garg M, Maralakunte M, Garg S, Dhooria S, Sehgal I, Bhalla AS, Vijayvergiya R, Grover S, Bhatia V, Jagia P, Bhalla A, Suri V, Goyal M, Agarwal R, Puri GD, Sandhu MS
Publikováno v:
International Journal of General Medicine, Vol Volume 14, Pp 2491-2506 (2021)
Mandeep Garg,1 Muniraju Maralakunte,1 Suruchi Garg,2 Sahajal Dhooria,3 Inderpaul Sehgal,3 Ashu Seith Bhalla,4 Rajesh Vijayvergiya,5 Sandeep Grover,6 Vikas Bhatia,1 Priya Jagia,7 Ashish Bhalla,8 Vikas Suri,8 Manoj Goyal,9 Ritesh Agarwal,3 Goverdhan Du
Externí odkaz:
https://doaj.org/article/afee5342e4ad4b42ba8a2ca24f16e9c2
Autor:
Rosa, T. H. T., Oliveira, M. A., Mendez-Gonzalez, Y., Guerrero, F., Guo, R., Bhalla, A. S., Guerra, J. D. S.
Perovskite structure materials based on the Ba1-xGdxTiO3 system, where x = 0.001, 0.002, 0.003, 0.004 and 0.005, were prepared via the Pechini chemical synthesis route. The dielectric properties have been analyzed over a wide temperature and frequenc
Externí odkaz:
http://arxiv.org/abs/2406.05463
Autor:
Yang, Xiao, Sun, Kai, Xin, Hao, Sun, Yushi, Bhalla, Nikita, Chen, Xiangsen, Choudhary, Sajal, Gui, Rongze Daniel, Jiang, Ziran Will, Jiang, Ziyu, Kong, Lingkun, Moran, Brian, Wang, Jiaqi, Xu, Yifan Ethan, Yan, An, Yang, Chenyu, Yuan, Eting, Zha, Hanwen, Tang, Nan, Chen, Lei, Scheffer, Nicolas, Liu, Yue, Shah, Nirav, Wanga, Rakesh, Kumar, Anuj, Yih, Wen-tau, Dong, Xin Luna
Retrieval-Augmented Generation (RAG) has recently emerged as a promising solution to alleviate Large Language Model (LLM)'s deficiency in lack of knowledge. Existing RAG datasets, however, do not adequately represent the diverse and dynamic nature of
Externí odkaz:
http://arxiv.org/abs/2406.04744
The exploration of dark sector interactions via gravitational waves (GWs) from binary inspirals has been a subject of recent interest. We study dark forces using extreme mass ratio inspirals (EMRIs), pointing out two issues of interest. Firstly, the
Externí odkaz:
http://arxiv.org/abs/2405.06011
Autor:
Khedkar, Kaustubh, Mamaghani, Amirreza Charchi, Ghysels, Pieter, Patankar, Neelesh A., Bhalla, Amneet Pal Singh
For decades, the computational multiphase flow community has grappled with mass loss in the level set method. Numerous solutions have been proposed, from fixing the reinitialization step to combining the level set method with other conservative schem
Externí odkaz:
http://arxiv.org/abs/2404.03132
In this paper, we discuss the development of an annotation schema to build datasets for evaluating the offline harm potential of social media texts. We define "harm potential" as the potential for an online public post to cause real-world physical ha
Externí odkaz:
http://arxiv.org/abs/2403.11108
Recent advances in virtual reality (VR) system provide fully immersive interactions that connect users with online resources, applications, and each other. Yet these immersive interfaces can make it easier for users to fall prey to a new type of secu
Externí odkaz:
http://arxiv.org/abs/2403.05721
Understanding the environmental impact of professional activities is becoming paramount in current times, especially within sectors that historically have had significant resource utilisation, such as High Energy Physics (HEP) and related fields. The
Externí odkaz:
http://arxiv.org/abs/2403.03308
Numerical simulation of moving immersed solid bodies in fluids is now practiced routinely following pioneering work of Peskin and co-workers on immersed boundary method (IBM), Glowinski and co-workers on fictitious domain method (FDM), and others on
Externí odkaz:
http://arxiv.org/abs/2402.15161
CLIP embeddings have demonstrated remarkable performance across a wide range of computer vision tasks. However, these high-dimensional, dense vector representations are not easily interpretable, restricting their usefulness in downstream applications
Externí odkaz:
http://arxiv.org/abs/2402.10376