Zobrazeno 1 - 10
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pro vyhledávání: '"Yuna, A"'
Leveraging generative AI (for example, Large Language Models) for language understanding within robotics opens up possibilities for LLM-driven robot end-user development (EUD). Despite the numerous design opportunities it provides, little is understo
Externí odkaz:
http://arxiv.org/abs/2411.04273
Most current Deep Learning-based Semantic Communication (DeepSC) systems are designed and trained exclusively for particular single-channel conditions, which restricts their adaptability and overall bandwidth utilization. To address this, we propose
Externí odkaz:
http://arxiv.org/abs/2410.01597
Semantic Communication (SC) is an emerging technology that has attracted much attention in the sixth-generation (6G) mobile communication systems. However, few literature has fully considered the perceptual quality of the reconstructed image. To solv
Externí odkaz:
http://arxiv.org/abs/2410.02121
Autor:
Ueno, Yosuke, Imamura, Satoshi, Tomida, Yuna, Tanimoto, Teruo, Tanaka, Masamitsu, Tabuchi, Yutaka, Inoue, Koji, Nakamura, Hiroshi
Cryogenic quantum computers play a leading role in demonstrating quantum advantage. Given the severe constraints on the cooling capacity in cryogenic environments, thermal design is crucial for the scalability of these computers. The sources of heat
Externí odkaz:
http://arxiv.org/abs/2409.07847
NEO Surveyor will detect asteroids and comets using mid-infrared thermal emission, however ground-based followup resources will require knowledge of the expected visible light brightness in order to plan characterization observations. Here we describ
Externí odkaz:
http://arxiv.org/abs/2409.05753
Autor:
Kwon, Yuna G., Bagnulo, Stefano, Markkanen, Johannes, Kolokolova, Ludmilla, Agarwal, Jessica, Lippi, Manuela, Gray, Zuri
Comets, relics from the early solar system, consist of dust and ice. The ice sublimates as comets approach the Sun, ejecting dust from their nuclei seen as activity. Different volatiles sublimate at different Sun-comet distances and eject dust of uni
Externí odkaz:
http://arxiv.org/abs/2408.01636
Semantic Communication (SC) is an emerging technology aiming to surpass the Shannon limit. Traditional SC strategies often minimize signal distortion between the original and reconstructed data, neglecting perceptual quality, especially in low Signal
Externí odkaz:
http://arxiv.org/abs/2408.05112
In this paper, we address the problem of image semantic communication in a multi-user deployment scenario and propose a federated learning (FL) strategy for a Swin Transformer-based semantic communication system (FSSC). Firstly, we demonstrate that t
Externí odkaz:
http://arxiv.org/abs/2407.21507
Autor:
Jang, Yoonna, Son, Suhyune, Lee, Jeongwoo, Son, Junyoung, Hur, Yuna, Lim, Jungwoo, Moon, Hyeonseok, Yang, Kisu, Lim, Heuiseok
Despite the striking advances in recent language generation performance, model-generated responses have suffered from the chronic problem of hallucinations that are either untrue or unfaithful to a given source. Especially in the task of knowledge gr
Externí odkaz:
http://arxiv.org/abs/2406.10809
Novel end-user programming (EUP) tools enable on-the-fly (i.e., spontaneous, easy, and rapid) creation of interactions with robotic systems. These tools are expected to empower users in determining system behavior, although very little is understood
Externí odkaz:
http://arxiv.org/abs/2406.00841