Zobrazeno 41 - 50
of 477
pro vyhledávání: '"Shah Rukh"'
Autor:
Mehmood, Shahid, Ali, Zahid, Altuijri, Reem, Abu El Maati, Lamia, Khan, Shah Rukh, Trukhanov, S.V., Zubar, T.I., Sayyed, M.I., Tishkevich, D.I., Trukhanov, A.V.
Publikováno v:
In Physica B: Condensed Matter 1 December 2023 670
Publikováno v:
In Energy Strategy Reviews November 2023 50
Autor:
Cashman, Dylan, Xu, Shenyu, Das, Subhajit, Heimerl, Florian, Liu, Cong, Humayoun, Shah Rukh, Gleicher, Michael, Endert, Alex, Chang, Remco
Most visual analytics systems assume that all foraging for data happens before the analytics process; once analysis begins, the set of data attributes considered is fixed. Such separation of data construction from analysis precludes iteration that ca
Externí odkaz:
http://arxiv.org/abs/2009.02865
Autor:
Iiyama, Yutaro, Cerminara, Gianluca, Gupta, Abhijay, Kieseler, Jan, Loncar, Vladimir, Pierini, Maurizio, Qasim, Shah Rukh, Rieger, Marcel, Summers, Sioni, Van Onsem, Gerrit, Wozniak, Kinga, Ngadiuba, Jennifer, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Liu, Mia, Pedro, Kevin, Tran, Nhan, Kreinar, Edward, Wu, Zhenbin
Publikováno v:
Frontiers in Big Data 3 (2021) 44
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. An important domain for the application of these networks is the FGP
Externí odkaz:
http://arxiv.org/abs/2008.03601
Document structure analysis, such as zone segmentation and table recognition, is a complex problem in document processing and is an active area of research. The recent success of deep learning in solving various computer vision and machine learning p
Externí odkaz:
http://arxiv.org/abs/1905.13391
Recent advancements in mobile devices encourage researchers to utilize them in collaborative environments as a medium to interact with large shared wall-displays. In this paper, we focus on a semi-controlled user study that we conducted to measure th
Externí odkaz:
http://arxiv.org/abs/1904.13364
Publikováno v:
Eur. Phys. J. C, 79 7 (2019) 608
We explore the use of graph networks to deal with irregular-geometry detectors in the context of particle reconstruction. Thanks to their representation-learning capabilities, graph networks can exploit the full detector granularity, while natively m
Externí odkaz:
http://arxiv.org/abs/1902.07987
Publikováno v:
In Cleaner Energy Systems April 2023 4
Publikováno v:
In Bioelectrochemistry April 2023 150
Autor:
Cashman, Dylan, Humayoun, Shah Rukh, Heimerl, Florian, Park, Kendall, Das, Subhajit, Thompson, John, Saket, Bahador, Mosca, Abigail, Stasko, John, Endert, Alex, Gleicher, Michael, Chang, Remco
Publikováno v:
Computer Graphics Forum 38(3) 2019, The Eurographics Association and John Wiley & Sons Ltd
Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an
Externí odkaz:
http://arxiv.org/abs/1809.10782