Zobrazeno 1 - 10
of 7 971
pro vyhledávání: '"Jiang , Hai"'
Can machine automatically generate multiple distinct and natural hand grasps, given specific contact region of an object in 3D? This motivates us to consider a novel task of \textit{Region Controllable Hand Grasp Generation (RegionGrasp)}, as follows
Externí odkaz:
http://arxiv.org/abs/2410.07995
Edge service caching can significantly mitigate latency and reduce communication and computing overhead by fetching and initializing services (applications) from clouds. The freshness of cached service data is critical when providing satisfactory ser
Externí odkaz:
http://arxiv.org/abs/2408.13605
In this paper, we propose a diffusion-based unsupervised framework that incorporates physically explainable Retinex theory with diffusion models for low-light image enhancement, named LightenDiffusion. Specifically, we present a content-transfer deco
Externí odkaz:
http://arxiv.org/abs/2407.08939
For users requesting popular contents from content providers, edge caching can alleviate backhaul pressure and enhance the quality of experience of users. Recently there is also a growing concern about content freshness that is quantified by age of i
Externí odkaz:
http://arxiv.org/abs/2403.07868
Device discovery has a great impact on the performance of Bluetooth low energy (BLE). The performance of device discovery is highly related to the advertising mode. BLE has two advertising modes: pseudo-random delay advertising (RDA) and periodic det
Externí odkaz:
http://arxiv.org/abs/2312.15650
We address the reflection optimization problem for a reconfigurable intelligent surface (RIS), where the RIS elements feature a set of non-uniformly spaced discrete phase shifts. This is motivated by the actual behavior of practical RIS elements, whe
Externí odkaz:
http://arxiv.org/abs/2311.07096
Autor:
Han, Jin-Jian, Zhong, Wei, Zhao, Ruo-Can, Zeng, Ting, Li, Min, Lu, Jian, Peng, Xin-Xin, Shi, Xi-Ping, Yin, Qin, Wang, Yong, Esamdin, Ali, Shen, Qi, Guan, Jian-Yu, Hou, Lei, Ren, Ji-Gang, Jia, Jian-Jun, Wang, Yu, Jiang, Hai-Feng, Xue, XiangHui, Zhang, Qiang, Dou, Xian-Kang, Pan, Jian-Wei
Satellite-based greenhouse gases (GHG) sensing technologies play a critical role in the study of global carbon emissions and climate change. However, none of the existing satellite-based GHG sensing technologies can achieve the measurement of broad b
Externí odkaz:
http://arxiv.org/abs/2310.19294
Federated learning (FL) has emerged as an appealing machine learning approach to deal with massive raw data generated at multiple mobile devices, {which needs to aggregate the training model parameter of every mobile device at one base station (BS) i
Externí odkaz:
http://arxiv.org/abs/2308.09072
In this paper, we propose an iterative framework, which consists of two phases: a generation phase and a training phase, to generate realistic training data and yield a supervised homography network. In the generation phase, given an unlabeled image
Externí odkaz:
http://arxiv.org/abs/2307.15353
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 239, Iss 5, Pp 829-831 (2024)
C32H48O5, orthorhombic, P212121 (no. 19), a = 7.1564(10) Å, b = 17.542(3) Å, c = 23.134(4) Å, V = 2904.2(8) Å3, Z = 4, Rgt(F) = 0.0555, wRref(F2) = 0.1343, T = 273(2) K.
Externí odkaz:
https://doaj.org/article/e8e372f4278243f09e4544db813c1cef
