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pro vyhledávání: '"wang, Miao"'
Deep reinforcement learning (DRL) has been extensively applied to Multi-Unmanned Aerial Vehicle (UAV) network (MUN) to effectively enable real-time adaptation to complex, time-varying environments. Nevertheless, most of the existing works assume a st
Externí odkaz:
http://arxiv.org/abs/2411.05205
Unmanned Aerial Vehicle (UAV) based communication networks (UCNs) are a key component in future mobile networking. To handle the dynamic environments in UCNs, reinforcement learning (RL) has been a promising solution attributed to its strong capabili
Externí odkaz:
http://arxiv.org/abs/2409.17139
Distributed management over Unmanned Aerial Vehicle (UAV) based communication networks (UCNs) has attracted increasing research attention. In this work, we study a distributed user connectivity maximization problem in a UCN. The work features a horiz
Externí odkaz:
http://arxiv.org/abs/2409.06010
Large language models (LLMs) excel in language tasks, especially with supervised fine-tuning after pre-training. However, their substantial memory and computational requirements hinder practical applications. Structural pruning, which reduces less si
Externí odkaz:
http://arxiv.org/abs/2408.14721
In this paper, the power series and hypergeometric series representations of the beta and Ramanujan functions \begin{equation*} \mathcal{B}\left( x\right) =\frac{\Gamma \left( x\right)^{2}}{\Gamma \left( 2x\right) }\text{ and }\mathcal{R}\left( x\rig
Externí odkaz:
http://arxiv.org/abs/2407.15664
Autor:
Zhao, Tie-Hong, Wang, Miao-Kun
Publikováno v:
Applicable Analysis and Discrete Mathematics, 2024 Apr 01. 18(1), 148-172.
Externí odkaz:
https://www.jstor.org/stable/27303530
Publikováno v:
International Journal of Lean Six Sigma, 2024, Vol. 15, Issue 7, pp. 1343-1364.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJLSS-02-2022-0034
We present Neural 3D Strokes, a novel technique to generate stylized images of a 3D scene at arbitrary novel views from multi-view 2D images. Different from existing methods which apply stylization to trained neural radiance fields at the voxel level
Externí odkaz:
http://arxiv.org/abs/2311.15637