Zobrazeno 1 - 10
of 7 039
pro vyhledávání: '"HU, Jia"'
Edge-AI, the convergence of edge computing and artificial intelligence (AI), has become a promising paradigm that enables the deployment of advanced AI models at the network edge, close to users. In Edge-AI, federated continual learning (FCL) has eme
Externí odkaz:
http://arxiv.org/abs/2411.13740
Image Captioning is an important Language and Vision task that finds application in a variety of contexts, ranging from healthcare to autonomous vehicles. As many real-world applications rely on devices with limited resources, much effort in the fiel
Externí odkaz:
http://arxiv.org/abs/2408.13963
Autoregressive Sequence-To-Sequence models are the foundation of many Deep Learning achievements in major research fields such as Vision and Natural Language Processing. Despite that, they still present significant limitations. For instance, when err
Externí odkaz:
http://arxiv.org/abs/2408.13959
The concept of electron holes plays a significant role in condensed matter physics. Here we develop the concept of bosonic holes, which exhibit negative particle excitations, in quadratic bosonic systems. Unlike electron holes, the Fock states of bos
Externí odkaz:
http://arxiv.org/abs/2408.01059
Publikováno v:
A&A 691, A125 (2024)
We compare the photometric properties and specific star formation rate (sSFR) of classical and pseudo-bulge galaxies with $M_* \ge 10^{9.5} \rm M_{\odot}$ at $0.5\le z<1.0$, selected from all five CANDELS fields. We also compare these properties of b
Externí odkaz:
http://arxiv.org/abs/2407.21527
Cooperative Adaptive Cruise Control (CACC) often requires human takeover for tasks such as exiting a freeway. Direct human takeover can pose significant risks, especially given the close-following strategy employed by CACC, which might cause drivers
Externí odkaz:
http://arxiv.org/abs/2407.11551
Autor:
Liao, Haicheng, Li, Yongkang, Li, Zhenning, Wang, Chengyue, Tian, Chunlin, Huang, Yuming, Bian, Zilin, Zhu, Kaiqun, Li, Guofa, Pu, Ziyuan, Hu, Jia, Cui, Zhiyong, Xu, Chengzhong
Accurately and safely predicting the trajectories of surrounding vehicles is essential for fully realizing autonomous driving (AD). This paper presents the Human-Like Trajectory Prediction model (HLTP++), which emulates human cognitive processes to i
Externí odkaz:
http://arxiv.org/abs/2407.07020
Cavity electromagnonic system, which simultaneously consists of cavities for photons, magnons (quanta of spin waves), and acoustic phonons, provides an exciting platform to achieve coherent energy transduction among different physical systems down to
Externí odkaz:
http://arxiv.org/abs/2406.13203
Longitudinal-only platooning methods are facing great challenges on running mobility, since they may be impeded by slow-moving vehicles from time to time. To address this issue, this paper proposes a vehicles swarming method coupled both longitudinal
Externí odkaz:
http://arxiv.org/abs/2405.08039
Cooperative and Adaptive Cruise Control (CACC) is widely focused to enhance driving fuel-efficiency by maintaining a close following gap. The ecology of CACC could be further enhanced by adapting to the rolling terrain. However, current studies canno
Externí odkaz:
http://arxiv.org/abs/2405.07553