Zobrazeno 1 - 10
of 410
pro vyhledávání: '"Bharatkumar P"'
Autor:
Shailly Vaghasiya, Niyati Rajpopat, Bharatkumar Parmar, Krishika A Tailor, Hardik V Patel, Jagdish Varma
Publikováno v:
Industrial Psychiatry Journal, Vol 32, Iss 2, Pp 410-416 (2023)
Background: Adolescents are likely to quickly adopt newer technologies and face detrimental effects of the same. Aim: This study assessed the prevalence and correlates of problematic smartphone and social media use among school-going adolescents. Met
Externí odkaz:
https://doaj.org/article/efdf25a74e09457392519a12a2134b5a
Autor:
A. K. Roopa, A. M. Hunashyal, Arun Y. Patil, Abhishek Kamadollishettar, Bharatkumar Patil, Manzoore Elahi M. Soudagar, Kiran Shahapurkar, T. M. Yunus Khan, M. A. Kalam
Publikováno v:
Advances in Civil Engineering, Vol 2023 (2023)
There is an increased demand for cement nanocomposites in the twenty-first century due to their composition, higher strength, high efficiency, and multiscale nature. As carbon nanotubes (CNTs) possess extremely high strength, resilience, and stiffnes
Externí odkaz:
https://doaj.org/article/108cbebfdccf42909a79d834c28c6ed6
Autor:
Rudie, Jeffrey D., Lin, Hui-Ming, Ball, Robyn L., Jalal, Sabeena, Prevedello, Luciano M., Nicolaou, Savvas, Marinelli, Brett S., Flanders, Adam E., Magudia, Kirti, Shih, George, Davis, Melissa A., Mongan, John, Chang, Peter D., Berger, Ferco H., Hermans, Sebastiaan, Law, Meng, Richards, Tyler, Grunz, Jan-Peter, Kunz, Andreas Steven, Mathur, Shobhit, Galea-Soler, Sandro, Chung, Andrew D., Afat, Saif, Kuo, Chin-Chi, Aweidah, Layal, Campos, Ana Villanueva, Somasundaram, Arjuna, Tijmes, Felipe Antonio Sanchez, Jantarangkoon, Attaporn, Bittencourt, Leonardo Kayat, Brassil, Michael, Hajjami, Ayoub El, Dogan, Hakan, Becircic, Muris, Bharatkumar, Agrahara G., Farina, Eduardo Moreno Júdice de Mattos, Group, Dataset Curator, Group, Dataset Contributor, Group, Dataset Annotator, Colak, Errol
The RSNA Abdominal Traumatic Injury CT (RATIC) dataset is the largest publicly available collection of adult abdominal CT studies annotated for traumatic injuries. This dataset includes 4,274 studies from 23 institutions across 14 countries. The data
Externí odkaz:
http://arxiv.org/abs/2405.19595
Brownian dynamics simulations of fairly long, highly detailed polymer chains, at the resolution of a single Kuhn step, remains computationally prohibitive even on the modern processors. This is especially true when the beads on the chain experience h
Externí odkaz:
http://arxiv.org/abs/2208.06559
Autor:
Verma, Manthan, Chatterjee, Soumyadeep, Garg, Gaurav, Sharma, Bharatkumar, Arya, Nishant, Kumar, Shashi, Saxena, Anish, Verma, Mahendra K.
In this paper, we present the details of our multi-node GPU-FFT library, as well its scaling on Selene HPC system. Our library employs slab decomposition for data division and MPI for communication among GPUs. We performed GPU-FFT on $1024^3$, $2048^
Externí odkaz:
http://arxiv.org/abs/2202.12756
Autor:
Bharadwaja, B V S S, Nabian, Mohammad Amin, Sharma, Bharatkumar, Choudhry, Sanjay, Alankar, Alankar
In this work, a model based on the Physics - Informed Neural Networks (PINNs) for solving elastic deformation of heterogeneous solids and associated Uncertainty Quantification (UQ) is presented. For the present study, the PINNs framework - Modulus de
Externí odkaz:
http://arxiv.org/abs/2202.10423
Autor:
Mamidi, Nischay Ram, Prasun, Kumar, Saxena, Dhruv, Nemili, Anil, Sharma, Bharatkumar, Deshpande, S. M.
This report presents a comprehensive analysis of the performance of GPU accelerated meshfree CFD solvers for two-dimensional compressible flows in Fortran, C++, Python, and Julia. The programming model CUDA is used to develop the GPU codes. The meshf
Externí odkaz:
http://arxiv.org/abs/2108.07031
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