Zobrazeno 1 - 10
of 66 688
pro vyhledávání: '"Zhang, Yong"'
The operation and management of the metro system in urban areas rely on accurate predictions of future passenger flow. While using all the available information can potentially improve on the accuracy of the flow prediction, there has been little att
Externí odkaz:
http://arxiv.org/abs/2409.14104
We investigate quantum-enhanced metrology in a triple point criticality and discover that quantum criticality can not always enhance measuring precision. We have developed suitable adiabatic evolution protocols approaching a final point around the tr
Externí odkaz:
http://arxiv.org/abs/2409.14048
Autor:
Yang, Ai Yuan, Feng, Yi, Tsai, Chao-Wei, Li, Di, Shi, Hui, Wang, Pei, Yang, Yuan-Pei, Zhang, Yong-Kun, Niu, Chen-Hui, Yao, Ju-Mei, Cui, Yu-Zhu, Su, Ren-Zhi, Li, Xiao-Feng, Zhang, Jun-Shuo, Zhu, Yu-Hao, Cotton, W. D.
Over 700 bright millisecond-duration radio transients, known as Fast Radio Bursts (FRBs), have been identified to date. Nevertheless, the origin of FRBs remains unknown. The two repeating FRBs (FRB 20121102A and FRB 20190520B) have been verified to b
Externí odkaz:
http://arxiv.org/abs/2409.13170
Autor:
Hao, Yun-Chao, Krüger, Matthias, Antezza, Mauro, Zhou, Cheng-Long, Yi, Hong-Liang, Zhang, Yong
We explore near-field thermal radiation transport in nanoparticles embedded within a multilayer slab structure, focusing on dynamic modulation of heat flux via cavity interactions. Our findings reveal that by tuning the distance between reflectors an
Externí odkaz:
http://arxiv.org/abs/2409.12698
Autor:
Zhao, Sijie, Hu, Wenbo, Cun, Xiaodong, Zhang, Yong, Li, Xiaoyu, Kong, Zhe, Gao, Xiangjun, Niu, Muyao, Shan, Ying
This paper presents a novel framework for converting 2D videos to immersive stereoscopic 3D, addressing the growing demand for 3D content in immersive experience. Leveraging foundation models as priors, our approach overcomes the limitations of tradi
Externí odkaz:
http://arxiv.org/abs/2409.07447
We present $\textit{Learn2Aggregate}$, a machine learning (ML) framework for optimizing the generation of Chv\'atal-Gomory (CG) cuts in mixed integer linear programming (MILP). The framework trains a graph neural network to classify useful constraint
Externí odkaz:
http://arxiv.org/abs/2409.06559
The DArk Matter Particle Explorer (DAMPE) is a satellite-borne particle detector for measurements of high-energy cosmic rays and {\gamma}-rays. DAMPE has been operating smoothly in space for more than 8 years since launch on December 17, 2015. The tr
Externí odkaz:
http://arxiv.org/abs/2409.03352
Autor:
Hu, Wenbo, Gao, Xiangjun, Li, Xiaoyu, Zhao, Sijie, Cun, Xiaodong, Zhang, Yong, Quan, Long, Shan, Ying
Despite significant advancements in monocular depth estimation for static images, estimating video depth in the open world remains challenging, since open-world videos are extremely diverse in content, motion, camera movement, and length. We present
Externí odkaz:
http://arxiv.org/abs/2409.02095
Metro operation management relies on accurate predictions of passenger flow in the future. This study begins by integrating cross-city (including source and target city) knowledge and developing a short-term passenger flow prediction framework (METcr
Externí odkaz:
http://arxiv.org/abs/2409.01515