Zobrazeno 1 - 10
of 10 075
pro vyhledávání: '"A. A. Raptis"'
Vision Transformers (ViTs) have demonstrated remarkable success in achieving state-of-the-art performance across various image-based tasks and beyond. In this study, we employ a ViT-based neural network to address the problem of indoor pathloss radio
Externí odkaz:
http://arxiv.org/abs/2412.09507
Autor:
Kajdič, Primož, Blanco-Cano, Xóchitl, Turc, Lucile, Archer, Martin, Raptis, Savvas, Liu, Terry Z., Pfau-Kempf, Yann, LaMoury, Adrian T., Hao, Yufei, Escoubet, Philippe C., Omidi, Nojan, Sibeck, David G., Wang, Boyi, Zhang, Hui, Lin, Yu
Publikováno v:
Front. Astron. Space Sci., (2024), Sec. Space Physics, Volume 11 - 2024
In recent years, it has become increasingly clear that space weather disturbances can be triggered by transient upstream mesoscale structures (TUMS), independently of the occurrence of large-scale solar wind (SW) structures, such as interplanetary co
Externí odkaz:
http://arxiv.org/abs/2411.07145
Autor:
Moraschini, Marco, Raptis, George
We show that a surjective homomorphism $\varphi \colon \Gamma \to K$ of (discrete) groups induces an isomorphism $H^\bullet_b(K; V) \to H^\bullet_b(\Gamma; \varphi^{-1} V)$ in bounded cohomology for all dual normed $K$-modules $V$ if and only if the
Externí odkaz:
http://arxiv.org/abs/2411.03761
Autor:
Shumko, M., Turner, D. L., Ukhorskiy, A. Y., Cohen, I. J., Stephens, G. K., Artemyev, A., Zhang, X., Wilkins, C., Tsai, E., Gabrielse, C., Raptis, S., Sitnov, M., Angelopoulos, V.
Earth's magnetotail, and the plasma sheet embedded in it, is a highly dynamic region that is coupled to both the solar wind and to the inner magnetosphere. As a consequence of this coupling, the plasma sheet undergoes explosive energy releases in the
Externí odkaz:
http://arxiv.org/abs/2410.16412
Autor:
Karapiperis, Sotirios, Ellinas, Nikolaos, Vioni, Alexandra, Oh, Junkwang, Jho, Gunu, Hwang, Inchul, Raptis, Spyros
Most of the prevalent approaches in speech prosody modeling rely on learning global style representations in a continuous latent space which encode and transfer the attributes of reference speech. However, recent work on neural codecs which are based
Externí odkaz:
http://arxiv.org/abs/2409.08664
Autor:
Osmane, Adnane, Raptis, Savvas
Super-Alfv\'enic jets, with kinetic energy densities significantly exceeding that of the solar wind, are commonly generated downstream of Earth's bow shock under both high and low beta plasma conditions. In this study, we present theoretical evidence
Externí odkaz:
http://arxiv.org/abs/2408.08159
Autor:
Becattini, Marco, Borsatti, Davide, Bujari, Armir, Carnevali, Laura, Garbugli, Andrea, Khachatrian, Hrant, Raptis, Theofanis P., Tarchi, Daniele
Publikováno v:
IEEE MeditCom 2024
Digital twin networks (DTNs) serve as an emerging facilitator in the industrial networking sector, enabling the management of new classes of services, which require tailored support for improved resource utilization, low latencies and accurate data f
Externí odkaz:
http://arxiv.org/abs/2405.07605
Autor:
Mitsios, Michael, Vamvoukakis, Georgios, Maniati, Georgia, Ellinas, Nikolaos, Dimitriou, Georgios, Markopoulos, Konstantinos, Kakoulidis, Panos, Vioni, Alexandra, Christidou, Myrsini, Oh, Junkwang, Jho, Gunu, Hwang, Inchul, Vardaxoglou, Georgios, Chalamandaris, Aimilios, Tsiakoulis, Pirros, Raptis, Spyros
Emotion detection in textual data has received growing interest in recent years, as it is pivotal for developing empathetic human-computer interaction systems. This paper introduces a method for categorizing emotions from text, which acknowledges and
Externí odkaz:
http://arxiv.org/abs/2404.01805
Conventional methods for outdoor environment reconstruction rely predominantly on vision-based techniques like photogrammetry and LiDAR, facing limitations such as constrained coverage, susceptibility to environmental conditions, and high computation
Externí odkaz:
http://arxiv.org/abs/2402.17336
Autor:
Krestenitis, Marios, Raptis, Emmanuel K., Kapoutsis, Athanasios Ch., Ioannidis, Konstantinos, Kosmatopoulos, Elias B., Vrochidis, Stefanos
Publikováno v:
Robotics and Autonomous Systems (2023): 104581
This paper deals with the problem of informative path planning for a UAV deployed for precision agriculture applications. First, we observe that the ``fear of missing out'' data lead to uniform, conservative scanning policies over the whole agricultu
Externí odkaz:
http://arxiv.org/abs/2312.09730