Zobrazeno 1 - 10
of 3 108
pro vyhledávání: '"Spanos, P."'
Autor:
Spanos, Thodoris, Fabra, Fran, López-Salcedo, José A., Seco-Granados, Gonzalo, Kanistras, Nikos, Lapin, Ivan, Paliouras, Vassilis
This paper presents a comprehensive exploration of Angle of Arrival (AoA) estimation techniques in 5G environments, using the Sounding Reference Signal (SRS) in Uplink scenarios both in simulations and with actual measurements. Leveraging 5G capabili
Externí odkaz:
http://arxiv.org/abs/2411.16501
Autor:
Spanos, Thodoris, Fabra, Fran, López-Salcedo, José A., Seco-Granados, Gonzalo, Kanistras, Nikos, Lapin, Ivan, Paliouras, Vassilis
This paper presents a novel testbed designed for 5th-Generation (5G) positioning using Universal Software Radio Peripherals (USRPs). The testbed integrates multiple units: an Operation Unit for test management, a User Unit equipped with an Ettus E312
Externí odkaz:
http://arxiv.org/abs/2411.16496
We present TRACE (Transformer-based Risk Assessment for Clinical Evaluation), a novel method for clinical risk assessment based on clinical data, leveraging the self-attention mechanism for enhanced feature interaction and result interpretation. Our
Externí odkaz:
http://arxiv.org/abs/2411.08701
We present a full one-loop calculation of the gravitino thermal production rate, beyond the so-called hard thermal loop approximation, using the corresponding thermal spectral functions in numerical form on both sides of the light cone. This framewor
Externí odkaz:
http://arxiv.org/abs/2408.16043
Consider the $d$-dimensional hyperbolic space $\mathbb{M}_K^d$ of constant curvature $K<0$ and fix a point $o$ playing the role of an origin. Let $\mathbf{L}$ be a uniform random $q$-dimensional totally geodesic submanifold (called $q$-flat) in $\mat
Externí odkaz:
http://arxiv.org/abs/2407.10708
We study the anomalous magnetic moment of the muon, $g_\mu - 2 \equiv 2 a_\mu$, in the context of supersymmetric models beyond the CMSSM, where the unification of either the gaugino masses $M_{1,2,3}$ or sfermion and Higgs masses is relaxed, taking i
Externí odkaz:
http://arxiv.org/abs/2407.08679
Autor:
Spanos, Nikolaos, Arsenos, Anastasios, Theofilou, Paraskevi-Antonia, Tzouveli, Paraskevi, Voulodimos, Athanasios, Kollias, Stefanos
The absence of well-structured large datasets in medical computer vision results in decreased performance of automated systems and, especially, of deep learning models. Domain generalization techniques aim to approach unknown domains from a single da
Externí odkaz:
http://arxiv.org/abs/2406.00298
Autor:
Gu, Shangding, Shi, Laixi, Ding, Yuhao, Knoll, Alois, Spanos, Costas, Wierman, Adam, Jin, Ming
Safe reinforcement learning (RL) is crucial for deploying RL agents in real-world applications, as it aims to maximize long-term rewards while satisfying safety constraints. However, safe RL often suffers from sample inefficiency, requiring extensive
Externí odkaz:
http://arxiv.org/abs/2405.20860
Assistive Exoskeleton Robots are helping restore functions to people suffering from underlying medical conditions. These robots require precise tuning of hyper-parameters to feel natural to the user. The device hyper-parameters often need to be re-tu
Externí odkaz:
http://arxiv.org/abs/2405.02495
In the domain of assistive robotics, the significance of effective modeling is well acknowledged. Prior research has primarily focused on enhancing model accuracy or involved the collection of extensive, often impractical amounts of data. While impro
Externí odkaz:
http://arxiv.org/abs/2405.02492