Zobrazeno 1 - 10
of 667 229
pro vyhledávání: '"Bai, A"'
Autor:
Kabir, R., Hayhoe, R., Bai, A.C.M., Vinnakota, D., Sivasubramanian, M., Afework, S., Chilaka, Marcus, Mohammadnezhad, Masoud, Aremu, O., Sah, R.K., Khan, H.T.A., Messner, S., Syed, H.Z., Parsa, A.D.
Yes
A literature review is a key part of all academic research that informs researchers of the existing body of knowledge. Reviews conducted systematically are becoming more appealing to the researcher about two reasons. Firstly, they are robust
A literature review is a key part of all academic research that informs researchers of the existing body of knowledge. Reviews conducted systematically are becoming more appealing to the researcher about two reasons. Firstly, they are robust
Externí odkaz:
http://hdl.handle.net/10454/19562
Autor:
Jiao, Yuechun, Zhang, Yu, Bai, Jingxu, Jia, Suotang, Adams, C. Stuart, Bai, Zhengyang, Shen, Heng, Zhao, Jianming
Floquet systems are periodically driven systems. In this framework, the system Hamiltonian and associated spectra of interest are modified, giving rise to new quantum phases of matter and nonequilibrium dynamics without static counterparts. Here we e
Externí odkaz:
http://arxiv.org/abs/2411.04650
Autor:
Adriani, O., Ambrosi, G., Antonelli, M., Bai, Y., Bai, X., Bao, T., Barbanera, M., Berti, E., Betti, P., Bigongiari, G., Bongi, M., Bonvicini, V., Bottai, S., Cagnoli, I., Cao, W., Casaus, J., Cerasole, D., Chen, Z., Cui, X., D'Alessandro, R., Di Venere, L., Diaz, C., Dong, Y., Detti, S., Duranti, M., Gargano, F., Gao, J., Guo, S., Giovacchini, F., Finetti, N., Formato, V., Jiang, Y., Liang, X., Li, R., Liao, C., Liu, X., Lyu, L., Marin, J., Martinez, G., Mori, N., Oliva, A., Pacini, L., Papini, P., Pillera, R., Pizzolotto, C., Quan, Z., Qin, J. J., Silveri, L., Silvestre, G., Shi, D., Serini, D., Starodubtsev, O., Tang, X., Tiberio, A., Vannuccini, E., Velasco, M., Wang, B., Wang, J., Wang, R., Wang, Z., Xu, M., Yang, X., Zampa, G., Zampa, N., Zhang, S., Zheng, J.
The measurement of cosmic rays at energies exceeding 100 TeV per nucleon is crucial for enhancing the understanding of high-energy particle propagation and acceleration models in the Galaxy. HERD is a space-borne calorimetric experiment that aims to
Externí odkaz:
http://arxiv.org/abs/2410.03274
Autor:
Wang, Peng, Bai, Shuai, Tan, Sinan, Wang, Shijie, Fan, Zhihao, Bai, Jinze, Chen, Keqin, Liu, Xuejing, Wang, Jialin, Ge, Wenbin, Fan, Yang, Dang, Kai, Du, Mengfei, Ren, Xuancheng, Men, Rui, Liu, Dayiheng, Zhou, Chang, Zhou, Jingren, Lin, Junyang
We present the Qwen2-VL Series, an advanced upgrade of the previous Qwen-VL models that redefines the conventional predetermined-resolution approach in visual processing. Qwen2-VL introduces the Naive Dynamic Resolution mechanism, which enables the m
Externí odkaz:
http://arxiv.org/abs/2409.12191
A finite element model consisting of a conducting filament with or without a gap was used to reproduce behavior of TaO$_x$-based resistive switching devices. The specific goal was to explore the range of possible filament parameters such a filament d
Externí odkaz:
http://arxiv.org/abs/2411.14970
In this paper, we consider a class of affined Anosov mappings with quasi-periodic forces, and show that there is a unique positive integer $m$, which only depends on the system, such that the exponential growth rate of the cardinality of invariant to
Externí odkaz:
http://arxiv.org/abs/2411.14844
Backscatter communication (BC) becomes a promising energy-efficient solution for future wireless sensor networks (WSNs). Unmanned aerial vehicles (UAVs) enable flexible data collection from remote backscatter devices (BDs), yet conventional UAVs rely
Externí odkaz:
http://arxiv.org/abs/2411.13970
Learning models of dynamical systems with external inputs, that may be, for example, nonsmooth or piecewise, is crucial for studying complex phenomena and predicting future state evolution, which is essential for applications such as safety guarantee
Externí odkaz:
http://arxiv.org/abs/2411.13914
Autor:
Zhang, Haiming, Zhou, Wending, Zhu, Yiyao, Yan, Xu, Gao, Jiantao, Bai, Dongfeng, Cai, Yingjie, Liu, Bingbing, Cui, Shuguang, Li, Zhen
This paper introduces VisionPAD, a novel self-supervised pre-training paradigm designed for vision-centric algorithms in autonomous driving. In contrast to previous approaches that employ neural rendering with explicit depth supervision, VisionPAD ut
Externí odkaz:
http://arxiv.org/abs/2411.14716
This paper presents an a priori error analysis of the Deep Mixed Residual method (MIM) for solving high-order elliptic equations with non-homogeneous boundary conditions, including Dirichlet, Neumann, and Robin conditions. We examine MIM with two typ
Externí odkaz:
http://arxiv.org/abs/2411.14151