Zobrazeno 1 - 10
of 228 156
pro vyhledávání: '"ppt"'
Motion forecasting (MF) for autonomous driving aims at anticipating trajectories of surrounding agents in complex urban scenarios. In this work, we investigate a mixed strategy in MF training that first pre-train motion forecasters on pseudo-labeled
Externí odkaz:
http://arxiv.org/abs/2412.06491
Autor:
Song, Zhiwei, Chen, Lin
The absolutely separable (resp. PPT) states remain separable (resp. positive partial transpose) under any global unitary operation. We present a compact form of the extreme points in the sets of absolutely separable states and PPT states in two-qubit
Externí odkaz:
http://arxiv.org/abs/2409.14347
Autor:
Ескермесов, Д. К.1, Рахадилов, Б. К.2,3, Толеуханова, Ж. Т.1 ztoleukhanova@ektu.kz, Пазылбек, С.4, Ескермесова, А. С.3
Publikováno v:
Bulletin of the L.N. Gumilyov Eurasian National University. Physics. Astronomy Series. 2024, Vol. 148 Issue 3, p98-116. 19p.
A New Sustainable PPT Coating Based on Recycled PET to Improve the Durability of Hydraulic Concrete.
Autor:
Bórquez-Mendivil, Adrián1 (AUTHOR) adrian.borquez.fim@uas.edu.mx, Barrios-Durstewitz, Carlos Paulino1 (AUTHOR) durstewitz@uas.edu.mx, Núñez-Jáquez, Rosa Elba1 (AUTHOR) ronunez@uas.edu.mx, Hurtado-Macías, Abel2 (AUTHOR) abel.hurtado@cimav.edu.mx, Leal-Pérez, Jesús Eduardo1 (AUTHOR) eduardo.leal@uas.edu.mx, Flores-Valenzuela, Joaquín1 (AUTHOR) jflores@uas.edu.mx, García-Grajeda, Blanca Alicia1 (AUTHOR) blanca.garcia@uas.edu.mx, Cabrera-Covarrubias, Francisca Guadalupe1 (AUTHOR) guadalupe.cabrera@uas.edu.mx, Mendivil-Escalante, José Miguel1 (AUTHOR) miguel.mendivil@uas.edu.mx, Almaral-Sánchez, Jorge Luis1 (AUTHOR) miguel.mendivil@uas.edu.mx
Publikováno v:
Polymers (20734360). May2024, Vol. 16 Issue 9, p1297. 15p.
Recent works have demonstrated the potential of Graph Neural Networks (GNN) for network intrusion detection. Despite their advantages, a significant gap persists between real-world scenarios, where detection speed is critical, and existing proposals,
Externí odkaz:
http://arxiv.org/abs/2406.13365
Akademický článek
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Akademický článek
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Vision Transformers (ViTs) have emerged as powerful models in the field of computer vision, delivering superior performance across various vision tasks. However, the high computational complexity poses a significant barrier to their practical applica
Externí odkaz:
http://arxiv.org/abs/2310.01812
Autor:
Lai, Gengke1,2 (AUTHOR), Li, Jialing1,2 (AUTHOR), Wang, Jun3 (AUTHOR), Wu, Chaoyang3 (AUTHOR) wucy@igsnrr.ac.cn, Zhang, Yongguang1,2,4,5 (AUTHOR) ygz@nju.edu.cn, Zohner, Constantin M6 (AUTHOR), Peñuelas, Josep5,7,8 (AUTHOR), Ge, Quansheng3 (AUTHOR) geqs@igsnrr.ac.cn
Publikováno v:
National Science Review. Sep2024, Vol. 11 Issue 9, p1-10. 10p.
Autor:
Surana, Aashral Virendra1 aashusurana@gmail.com, Sone, Piyush Vikas1
Publikováno v:
Journal of Hearing Science. Jun2023, Vol. 13 Issue 2, p49-56. 8p.