Zobrazeno 1 - 10
of 21 445
pro vyhledávání: '"A. Fareed"'
Autor:
H. Gota, A. Smirnov, M.W. Binderbauer, T. Tajima, S. Putvinski, J.B. Titus, M. Nations, T. Roche, E. Trask, T. DeHaas, S.A. Dettrick, E.M. Granstedt, D.K. Gupta, S. Gupta, A.A. Ivanov, S. Korepanov, R.M. Magee, T. Matsumoto, J.A. Romero, P. Yushmanov, K. Zhai, L. Schmitz, Z. Lin, S. Krasheninnikov, E.A. Baltz, J.C. Platt, E.V. Belova, T. Asai, A.I. Smolyakov, S. Abdollahi, S. Abramov, A. Alexander, I. Allfrey, R. Andow, D.C. Barnes, B. Barnett, J. Barrett, M. Beall, N.G. Bolte, E. Bomgardner, A. Bondarenko, F. Brighenti, J. Buttery, S. Caton, F. Ceccherini, Y. Choi, R. Clary, A. Cooper, C. Deng, A. de Vera, J. Drobny, A. Dunaevsky, C. Exton, A. Fareed, P. Feng, C. Finucane, D. Fluegge, A. Fontanilla, Y. Fujiwara, L. Galeotti, S. Galkin, R. Groenewald, T. Hsyu, K. Hubbard, R. Jaber, L. Jian, N. Kafle, S. Kamio, S. Karbashewski, J.S. Kinley, A. Korepanov, G. Koumarianou, S. Krause, P. Kudrin, C.K. Lau, H. Leinweber, J. Leuenberger, D. Lieurance, M. Litton, R. Luna, R. Luong, J. MacFarlane, D. Madura, J. Margo, D. Marshall, V. Matvienko, M. Meekins, W. Melian, R. Mendoza, R. Michel, M. Morehouse, Y. Musthafa, S. Nazarenko, A. Necas, B.S. Nicks, N. Nwoke, S. Ohshima, M. Onofri, R. Page, J. Park, E. Parke, S. Patel, L. Pennings, K. Phung, G. Player, L. Rios, I. Sato, J.H. Schroeder, Y. Shimabukuro, M. Showers, A. Sibley, M. Signorelli, M. Slepchenkov, R.J. Smith, G. Snitchler, V. Sokolov, D. Solyakov, Y. Song, B. Sporer, L.C. Steinhauer, C. Stonier, A. Stratta, J. Sweeney, M. Tobin, M. Tuszewski, J. Ufnal, T. Valentine, S. Vargas, A.D. Van Drie, V. Vekselman, A. Veksler, C. Weixel, C. White, M. Wollenberg, J. Wood, Y. Zhou, S. Ziaei, the TAE Team
Publikováno v:
Nuclear Fusion, Vol 64, Iss 11, p 112014 (2024)
TAE Technologies’ fifth-generation fusion device, C-2W (also called ‘Norman’), is the world’s largest compact-toroid device and has made significant progress in field-reversed configuration (FRC) plasma performance. C-2W produces record break
Externí odkaz:
https://doaj.org/article/256b81cac41043c1a97676b160e67300
Recent breakthroughs in Large Language Models (LLMs) have led to their adoption across a wide range of tasks, ranging from code generation to machine translation and sentiment analysis, etc. Red teaming/Safety alignment efforts show that fine-tuning
Externí odkaz:
http://arxiv.org/abs/2409.15361
We develop parameterizations of 8 of the lowest Born-Oppenheimer potentials for quarkonium hybrid mesons as functions of the separation $r$ of the static quark and antiquark sources. The parameters are determined by fitting results calculated using p
Externí odkaz:
http://arxiv.org/abs/2406.05123
Autor:
A. Nadeem, S. Hussain, A. Fareed, M. Fahim, T. Iqbal, Z. Ahmad, Saeedullah, R. Karim, A. Akbar
Publikováno v:
Brazilian Journal of Biology, Vol 84 (2021)
Abstract Maydis leaf blight, caused by Bipolaris maydis, is an important disease of maize crop in Khyber Pakhtunkhwa (KP) Pakistan. Fifteen isolates of the pathogen, collected across KP, were studied for variability based on phenotypic and molecular
Externí odkaz:
https://doaj.org/article/d63e8924d9874a3e8313cbfbd00853ba
Autor:
A. Al-Dawoodi, A. Fareed, T. Masuda, A. Ghazi, A.M. Fakhrudeen, S.A. Aljunid, S.Z.S. Idrus, A. Amphawan
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 65, Iss No 1, Pp 5-10 (2019)
Nonlinearities in optical fibers deteriorate system performances and become a major performancelimiting issue. This article aims to investigate the compensation of nonlinear distortions in optical communication systems based on different wavelength p
Externí odkaz:
https://doaj.org/article/8bb61edada18442ba3c9f64b63fca52e
Depthwise and pointwise convolutions have fewer parameters and perform fewer operations than standard convolutions. As a result, they have become increasingly used in various compact DNNs, including convolutional neural networks (CNNs) and vision tra
Externí odkaz:
http://arxiv.org/abs/2404.19331
Publikováno v:
Planta Daninha, Vol 38 (2020)
ABSTRACT: Tillage practice has a significant role on weeds eradication and soil water conservation in crop production. Under semiarid agriculture, the monsoon rains (65%) are major source of water in Potohar, Pakistan, which can effectively be used m
Externí odkaz:
https://doaj.org/article/36b65728d4a441ad885aec92d178ae1f
Autor:
Ishaq, Kashif, Fareed, Sidra
In the wake of the arrival of digital media, the Internet, the web, and online social media, a flood of new cyber security research questions have emerged. There is a lot of money being lost around the world because of cyber-attacks. As a result, cyb
Externí odkaz:
http://arxiv.org/abs/2308.13587
Autor:
Sheriff, Fareed
Markov chain Monte Carlo (MCMC) methods have existed for a long time and the field is well-explored. The purpose of MCMC methods is to approximate a distribution through repeated sampling; most MCMC algorithms exhibit asymptotically optimal behavior
Externí odkaz:
http://arxiv.org/abs/2307.06279
Autor:
Mika, Kevin, Griessl, René, Kucza, Nils, Porrmann, Florian, Kaiser, Martin, Tigges, Lennart, Hagemeyer, Jens, Trancoso, Pedro, Azhar, Muhammad Waqar, Qararyah, Fareed, Zouzoula, Stavroula, Ménétrey, Jämes, Pasin, Marcelo, Felber, Pascal, Marcus, Carina, Brunnegard, Oliver, Eriksson, Olof, Salomonsson, Hans, Ödman, Daniel, Ask, Andreas, Casimiro, Antonio, Bessani, Alysson, Carvalho, Tiago, Gugala, Karol, Zierhoffer, Piotr, Latosinski, Grzegorz, Tassemeier, Marco, Porrmann, Mario, Heyn, Hans-Martin, Knauss, Eric, Mao, Yufei, Meierhöfer, Franz
Publikováno v:
CF'23: 20th ACM International Conference on Computing Frontiers, May 2023, Bologna, Italy
The VEDLIoT project aims to develop energy-efficient Deep Learning methodologies for distributed Artificial Intelligence of Things (AIoT) applications. During our project, we propose a holistic approach that focuses on optimizing algorithms while add
Externí odkaz:
http://arxiv.org/abs/2305.05388