Zobrazeno 1 - 10
of 1 129
pro vyhledávání: '"KYRIAZIS, A. P."'
Autor:
Kokkinos, Kyriazis, Polymenidis, Ioannis, Siniosoglou, Ilias, Liatifis, Athanasios, Sarigiannidis, Panagiotis
Data exchange through mobile devices is rapidly increasing due to the high information demands of today's applications. The need for monitoring the exchanged traffic becomes important in order to control and optimize the device and network performanc
Externí odkaz:
http://arxiv.org/abs/2406.18251
Autor:
Guessoum, Salah, Kyriazis, Athanasios, Malica, Tushar, Van Erps, Jürgen, Van Steenberge, Geert, Virte, Martin
Besides major advantages for telecommunication applications, VCSELs have attracted interest for their potential for neuro-inspired computing, frequency comb generation or high-frequency spin oscillations. In the meantime, strain applied to the laser
Externí odkaz:
http://arxiv.org/abs/2406.09125
We investigate the effect of a dark matter caustic passing through the Solar System. We find, confirming a previous result, that the Sun tracks the caustic surface for some time. We integrate numerically the equations of motion of the Sun and a comet
Externí odkaz:
http://arxiv.org/abs/2403.06314
Autor:
Fontana, Alessandro, Kyriazis, Marios
At any moment in time, evolution is faced with a formidable challenge: refining the already highly optimised design of biological species, a feat accomplished through all preceding generations. In such a scenario, the impact of random changes (the me
Externí odkaz:
http://arxiv.org/abs/2401.16052
Autor:
Mavrepis, Philip, Makridis, Georgios, Fatouros, Georgios, Koukos, Vasileios, Separdani, Maria Margarita, Kyriazis, Dimosthenis
The field of Explainable Artificial Intelligence (XAI) often focuses on users with a strong technical background, making it challenging for non-experts to understand XAI methods. This paper presents "x-[plAIn]", a new approach to make XAI more access
Externí odkaz:
http://arxiv.org/abs/2401.13110
This paper introduces MarketSenseAI, an innovative framework leveraging GPT-4's advanced reasoning for selecting stocks in financial markets. By integrating Chain of Thought and In-Context Learning, MarketSenseAI analyzes diverse data sources, includ
Externí odkaz:
http://arxiv.org/abs/2401.03737
We lay down the foundation of the theory of spaces of distributions on the product $X_1\times X_2$ of doubling metric measure spaces $X_1$, $X_2$ in the presence of non-negative self-adjoint operators $L_1$, $L_2$, whose heat kernels have Gaussian lo
Externí odkaz:
http://arxiv.org/abs/2312.16718
In the domain of Mobility Data Science, the intricate task of interpreting models trained on trajectory data, and elucidating the spatio-temporal movement of entities, has persistently posed significant challenges. Conventional XAI techniques, althou
Externí odkaz:
http://arxiv.org/abs/2312.00380
Autor:
Athanasios Kiourtis, Argyro Mavrogiorgou, Georgios Makridis, Dimosthenis Kyriazis, John Soldatos, George Fatouros, Dimitrios Ntalaperas, Xanthi Papageorgiou, Bruno Almeida, Joana Guedes, Pedro Malo, Jorge Oliveira, Sebastian Scholze, Antonio Rosinha, Joaquim Reis, Matteo Falsetta
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 314-323 (2024)
Applications for Extended Reality (XR) are rapidly expanding across a wide range of industries, including gaming, entertainment, and healthcare. Accompanying this trend is the field of digital manufacturing, which encompasses a broad range of applica
Externí odkaz:
https://doaj.org/article/08bc6dea8e9e4a4581c63ed74bc6ccb0
Autor:
Amit Kumar Rai, Natarajaseenivasan Suriya Muthukumaran, Noemi Nisini, Tiffany Lee, Ioannis D. Kyriazis, Claudio de Lucia, Michela Piedepalumbo, Rajika Roy, Shizuka Uchida, Konstantinos Drosatos, Malik Bisserier, Rajesh Katare, David Goukassian, Raj Kishore, Venkata Naga Srikanth Garikipati
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-9 (2024)
Abstract More than 10% of adults in the United States have type 2 diabetes mellitus (DM) with a 2–4 times higher prevalence of ischemic heart disease than the non-diabetics. Despite extensive research approaches to limit this life-threatening condi
Externí odkaz:
https://doaj.org/article/de90f5e45f344d688ac06acf5133d832