Zobrazeno 1 - 10
of 219
pro vyhledávání: '"P Askounis"'
Autor:
Tzortzis, Alexandros Menelaos, Kormpakis, Georgios, Pelekis, Sotiris, Michalitsi-Psarrou, Ariadni, Karakolis, Evangelos, Ntanos, Christos, Askounis, Dimitris
AI4EF, Artificial Intelligence for Energy Efficiency, is an advanced, user-centric tool designed to support decision-making in building energy retrofitting and efficiency optimization. Leveraging machine learning (ML) and data-driven insights, AI4EF
Externí odkaz:
http://arxiv.org/abs/2412.04045
The advent of 6G/NextG networks comes along with a series of benefits, including extreme capacity, reliability, and efficiency. However, these networks may become vulnerable to new security threats. Therefore, 6G/NextG networks must be equipped with
Externí odkaz:
http://arxiv.org/abs/2412.03483
Autor:
Pelekis, Sotiris, Karakolis, Evangelos, Lampropoulos, George, Mouzakitis, Spiros, Markaki, Ourania, Ntanos, Christos, Askounis, Dimitris
The present study aims to evaluate the current fuzzy landscape of Trustworthy AI (TAI) within the European Union (EU), with a specific focus on the energy sector. The analysis encompasses legal frameworks, directives, initiatives, and standards like
Externí odkaz:
http://arxiv.org/abs/2412.07782
Autor:
Tzoumanekas, Georgios, Chatzianastasis, Michail, Ilias, Loukas, Kiokes, George, Psarras, John, Askounis, Dimitris
Social media platforms, including X, Facebook, and Instagram, host millions of daily users, giving rise to bots-automated programs disseminating misinformation and ideologies with tangible real-world consequences. While bot detection in platform X ha
Externí odkaz:
http://arxiv.org/abs/2411.16285
Autor:
Michalakopoulos, Vasilis, Sarmas, Elissaios, Daropoulos, Viktor, Kazdaridis, Giannis, Keranidis, Stratos, Marinakis, Vangelis, Askounis, Dimitris
Central to achieving the energy transition, heating systems provide essential space heating and hot water in residential and industrial environments. A major challenge lies in effectively profiling large clusters of buildings to improve demand estima
Externí odkaz:
http://arxiv.org/abs/2411.16701
Publikováno v:
Volume 14, article number 196, (2024)
The detection of depression in social media posts is crucial due to the increasing prevalence of mental health issues. Traditional machine learning algorithms often fail to capture intricate textual patterns, limiting their effectiveness in identifyi
Externí odkaz:
http://arxiv.org/abs/2409.20048
Autor:
Yusuf, Gbadebo Taofeek, Singh, Sukhwinder, Askounis, Alexandros, Stoeva, Zlatka, Tchuenbou-Magaia, Fideline
Achieving higher performance in zinc oxide (ZnO) at room and mid-temperatures is crucial for applications requiring high energy conversion efficiency. This study focuses on grain boundary engineering techniques and an innovative modeling approach to
Externí odkaz:
http://arxiv.org/abs/2406.05769
Autor:
Michalakopoulos, Vasilis, Pelekis, Sotiris, Kormpakis, Giorgos, Karakolis, Vagelis, Mouzakitis, Spiros, Askounis, Dimitris
Publikováno v:
2024 IEEE Conference on Technologies for Sustainability (SusTech)
The analytical prediction of building energy performance in residential buildings based on the heat losses of its individual envelope components is a challenging task. It is worth noting that this field is still in its infancy, with relatively limite
Externí odkaz:
http://arxiv.org/abs/2311.08035
Autor:
Tzortzis, Alexandros-Menelaos, Pelekis, Sotiris, Spiliotis, Evangelos, Mouzakitis, Spiros, Psarras, John, Askounis, Dimitris
Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time series renders STLF a challenging task. Various forecasting appr
Externí odkaz:
http://arxiv.org/abs/2310.15555
Although not all bots are malicious, the vast majority of them are responsible for spreading misinformation and manipulating the public opinion about several issues, i.e., elections and many more. Therefore, the early detection of bots is crucial. Al
Externí odkaz:
http://arxiv.org/abs/2308.14484