Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Prabhat Prabhat"'
Autor:
Irfanul Huda, Nitu Brotobiswas, Aaysha Tabinda Nabi, Anindita Banerjee, Prabhat Prabhat, Ashish
Publikováno v:
IP International Journal of Periodontology and Implantology. 4:6-10
Background: To study the association between oral health status and pregnancy in Patna (Bihar). Aims and Objectives: This study aims to examine periodontal status in pregnant women and assess the relationship with parity, socio-economic factors, gest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75b53d0463f453b162d15e89660b853
https://doi.org/10.18231/j.ijpi.2019.002
https://doi.org/10.18231/j.ijpi.2019.002
Publikováno v:
Revista Eletrônica de Iniciação Científica em Computação; v. 18, n. 4 (2020): Revista Eletrônica de Iniciação Científica em Computação
Este artigo apresenta a construc ao de um prot otipo de baixo custo do brinquedo Cubetto e a elaborac ao de alguns experimentos para introduc ao na l ogica de programac ao. O Cubetto e uma plataforma de rob otica educa- cional simples que visa ensina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f79dc913b3f4711417487f84e1781ba2
https://doi.org/10.5753/reic.2020.1765
https://doi.org/10.5753/reic.2020.1765
Autor:
Choma, Nicholas, Murnane, Daniel, Ju, Xiangyang, Calafiura, Paolo, Conlon, Sean, Farrell, Steven, Prabhat, Prabhat, Cerati, Giuseppe, Gray, Lindsey, Klijnsma, Thomas, Kowalkowski, Jim, Spentzouris, Panagiotis, Vlimant, Jean-Roch, Spiropulu, Maria, Adam Aurisano, Hewes, Jeremy, Tsaris, Aristeidis, Terao, Kazuhiro, Usher, Tracy
Publikováno v:
DOE / OSTI
To address the unprecedented scale of HL-LHC data, the Exa.TrkX project is investigating a variety of machine learning approaches to particle track reconstruction. The most promising of these solutions, graph neural networks (GNN), process the event
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d49d3fa96ee6ef6322502adb599cb09
https://escholarship.org/uc/item/9sp2b8m0
https://escholarship.org/uc/item/9sp2b8m0
Autor:
Tuomas Kärnä, Lei Shao, Victor W. Lee, Amrita Mathuriya, Nalini Kumar, Simon J. Pennycook, Kristyn Maschhoff, Peter Mendygral, Lawrence Meadows, Jason Sewall, Diana Moise, Prabhat Prabhat, James Arnemann, Michael F. Ringenburg, Siyu He, Shirley Ho, Deborah Bard
Publikováno v:
Mathuriya, Amrita; Bard, Deborah; Mendygral, Peter; Meadows, Lawrence; Arnemann, James; Shao, Lei; et al.(2018). CosmoFlow: Using Deep Learning to Learn the Universe at Scale. SC18: International Conference for High Performance Computing, Networking, Storage and Analysis. doi: 10.1109/sc.2018.00068. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/6g4145rq
SC
SC
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow: a highly scalable deep learning application built on top of the Tensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678927f228e227083ca2700d4c4a075a
https://escholarship.org/uc/item/6g4145rq
https://escholarship.org/uc/item/6g4145rq
Autor:
Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat Prabhat, Michael Houston
Publikováno v:
Kurth, T; Treichler, S; Romero, J; Mudigonda, M; Luehr, N; Phillips, E; et al.(2018). Exascale Deep Learning for Climate Analytics. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/3wc2j1nx
We extract pixel-level masks of extreme weather patterns using variants of Tiramisu and DeepLabv3+ neural networks. We describe improvements to the software frameworks, input pipeline, and the network training algorithms necessary to efficiently scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58e8a772401b1cc9f3c799c24071f0c5
http://arxiv.org/abs/1810.01993
http://arxiv.org/abs/1810.01993
Autor:
Prabhat Prabhat, Zahra Ronaghi, S. R. Klein, Nicholas Choma, L. Gerhardt, Joan Bruna, Wahid Bhimji, Michael M. Bronstein, Tomasz Jan Palczewski, Federico Monti
Publikováno v:
2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
ICMLA
ICMLA
Tasks involving the analysis of geometric (graph- and manifold-structured) data have recently gained prominence in the machine learning community, giving birth to a rapidly developing field of geometric deep learning. In this work, we leverage graph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::998dac6395d038b8f73e1149ceed61c0
Autor:
Vishwas Patil, R. K. Shyamasundar, Ankur Narang, Ashwin Gumaste, Vipin Chaudhary, Inder Monga, Prabhat Prabhat
Publikováno v:
Proceedings of the Indian National Science Academy. 96
Author(s): Shyamasundar, RK; Prabhat; Chaudhary, V; Gumaste, A; Monga, I; Patil, V; Narang, A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::816d032b5194264d1539ae2c799b03ba
https://doi.org/10.16943/ptinsa/2018/49336
https://doi.org/10.16943/ptinsa/2018/49336
Autor:
Galen M. Shipman, A. Pletzer, Hank Childs, Charles Doutriaux, E. W. Bethel, Sean Williams, Harinarayan Krishnan, Dave Pugmire, Cláudio T. Silva, Prabhat Prabhat, Thomas Maxwell, D. Kindig, T. Bremer, Chad A. Steed, David Koop, Berk Geveci, Ross Miller, Andrew Bauer, Jorge Poco, Michael Wehner, Emanuele Santos, Brian E. Smith, John Patchett, Tommy Ellqvist, Aashish Chaudhary, Gerald L. Potter, Dean N. Williams
Publikováno v:
Computer. 46:68-76
Collaboration across research, government, academic, and private sectors is integrating more than 70 scientific computing libraries and applications through a tailorable provenance framework, empowering scientists to exchange and examine data in nove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d4f93e07966b0d5fe247b4b54abb683
https://doi.org/10.1109/mc.2013.119
https://doi.org/10.1109/mc.2013.119
Autor:
Bard, Debbie, Bhimji, Wahid, Paul, David, Lockwood, Glenn K, Wright, Nicholas J, Antypas, Katie, Prabhat, Prabhat, Farrell, Steve, Ovsyannikov, Andrey, Romanus, Melissa, Van Straalen, Brian, Trebotich, David, Weber, Guenter
Publikováno v:
Bard, Debbie; Bhimji, Wahid; Paul, David; Lockwood, Glenn K; Wright, Nicholas J; Antypas, Katie; et al.(2016). Experiences with the Burst Buffer at NERSC:. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/3ws838j6
NVRAM-based Burst Buffers are an important part of the emerging HPC storage landscape. The National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory recently installed one of the first Burst Buffer systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::41f1c5886bba872f6cc3f9592cb76daf
http://www.escholarship.org/uc/item/3ws838j6
http://www.escholarship.org/uc/item/3ws838j6
Autor:
Chang, Edward, Rübel, O, Dougherty, M, Prabhat, Prabhat, Denes, P, Conant, D, Chang, EF, Bouchard, K
Publikováno v:
Chang, Edward; Rübel, O; Dougherty, M; Prabhat, Prabhat; Denes, P; Conant, D; et al.(2016). Methods for specifying scientific data standards and modeling relationships with applications to neuroscience. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/6b68c4z3
© 2016 Rübel, Dougherty, Prabhat, Denes, Conant, Chang and Bouchard.Neuroscience continues to experience a tremendous growth in data; in terms of the volume and variety of data, the velocity at which data is acquired, and in turn the veracity of da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::e672cf34cb3a4296f8dbe0eed723b946
http://www.escholarship.org/uc/item/6b68c4z3
http://www.escholarship.org/uc/item/6b68c4z3