Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Giorgos Giannopoulos"'
Autor:
Dimitra Paranou, Angelos Pentelas, George Doukas, Konstantinos Chondralis, Dimitris Katsiros, Evangelos Angelou, Nikos Anastopoulos, Giorgos Giannopoulos, George Papastefanatos
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract Telecommunication (telco) cloud services have emerged as crucial components in the modern digital landscape, offering extensive capabilities for data management, connectivity, and service provision. However, research on telco clouds lacks co
Externí odkaz:
https://doaj.org/article/b2407eb76371446f8214802b18c7bf5e
Autor:
Angelos Pentelas, Dimitris Katsiros, Dimitra Paranou, George Doukas, Konstantinos Chondralis, Giorgos Giannopoulos, Evangelos Angelou, George Papastefanatos
Publikováno v:
IEEE Access, Vol 12, Pp 91462-91479 (2024)
Telco edge data centers (DCs) accommodate applications whose load fluctuates considerably during a day. This variability mandates swift and responsive resource adjustments to mitigate the risk of incurring unnecessary costs during off-peak periods, w
Externí odkaz:
https://doaj.org/article/3aa3984f60c94f76a5b8aa49d060a29d
Autor:
Alexis Apostolakis, Stella Girtsou, Giorgos Giannopoulos, Nikolaos S. Bartsotas, Charalampos Kontoes
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1222 (2022)
Next day wildfire prediction is an open research problem with significant environmental, social, and economic impact since it can produce methods and tools directly exploitable by fire services, assisting, thus, in the prevention of fire occurrences
Externí odkaz:
https://doaj.org/article/e4079869ec26418081ba9baf0dee29b5
Autor:
Alexandros Kalimeris, Ioannis Psarros, Giorgos Giannopoulos, Manolis Terrovitis, George Papastefanatos, Gregory Kotsis
Publikováno v:
IEEE Journal of Photovoltaics. 13:461-466
Soiling is the accumulation of dirt in solar panels which leads to a decreasing trend in solar energy yield and may be the cause of vast revenue losses. The effect of soiling can be reduced by washing the panels, which is, however, a procedure of non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b08de191b9e5fa090feadaa4ddefc329
https://doi.org/10.1109/jphotov.2023.3243719
https://doi.org/10.1109/jphotov.2023.3243719
Introduction. This abstract presents FireRisk (https://riskmap.beyond-eocenter.eu/), a web platform that produces and visualizes timely, highly granular and accurate next day fire risk predictions on a country scale. FireRisk deploys a thorough data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06dbd3e13ebba8016fa595a1d3331a30
https://doi.org/10.5194/egusphere-egu23-16344
https://doi.org/10.5194/egusphere-egu23-16344
Autor:
Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Soren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muniz Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis
Publikováno v:
Tirupathi, S, Salwala, D, Zizzo, G, Rawat, A, Purcell, M, Jensen, S K, Thomsen, C, Ho, N, Cuza, C E M, Brusokas, J, Pedersen, T B, Alexiou, G, Giannopoulos, G, Gidarakos, P, Kalimeris, A, Maroulis, S, Papastefanatos, G, Psarros, I, Stamatopoulos, V & Terrovitis, M 2022, Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data . in S Tsumoto, Y Ohsawa, L Chen, D Van den Poel, X Hu, Y Motomura, T Takagi, L Wu, Y Xie, A Abe & V Raghavan (eds), 2022 IEEE International Conference on Big Data (Big Data) ., 10020540, IEEE Communications Society, pp. 3179-3185, 2022 IEEE International Conference on Big Data (Big Data), 17/12/2022 . https://doi.org/10.1109/BigData55660.2022.10020540
With the lowering costs of sensors, high-volume and high-velocity data are increasingly being generated and analyzed, especially in IoT domains like energy and smart homes. Consequently, applications that require accurate short-term forecasts and pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2118a8cdcd489e5491601b574f9032
https://vbn.aau.dk/da/publications/771ac3a1-1afc-44d3-b442-4f64c86ec4e0
https://vbn.aau.dk/da/publications/771ac3a1-1afc-44d3-b442-4f64c86ec4e0
Autor:
Kathryn Whitman, Ricky Egeland, Ian G. Richardson, Clayton Allison, Philip Quinn, Janet Barzilla, Irina Kitiashvili, Viacheslav Sadykov, Hazel M. Bain, Mark Dierckxsens, M. Leila Mays, Tilaye Tadesse, Kerry T. Lee, Edward Semones, Janet G. Luhmann, Marlon Núñez, Stephen M. White, Stephen W. Kahler, Alan G. Ling, Don F. Smart, Margaret A. Shea, Valeriy Tenishev, Soukaina F. Boubrahimi, Berkay Aydin, Petrus Martens, Rafal Angryk, Michael S. Marsh, Silvia Dalla, Norma Crosby, Nathan A. Schwadron, Kamen Kozarev, Matthew Gorby, Matthew A. Young, Monica Laurenza, Edward W. Cliver, Tommaso Alberti, Mirko Stumpo, Simone Benella, Athanasios Papaioannou, Anastasios Anastasiadis, Ingmar Sandberg, Manolis K. Georgoulis, Anli Ji, Dustin Kempton, Chetraj Pandey, Gang Li, Junxiang Hu, Gary P. Zank, Eleni Lavasa, Giorgos Giannopoulos, David Falconer, Yash Kadadi, Ian Fernandes, Maher A. Dayeh, Andrés Muñoz-Jaramillo, Subhamoy Chatterjee, Kimberly D. Moreland, Igor V. Sokolov, Ilia I. Roussev, Aleksandre Taktakishvili, Frederic Effenberger, Tamas Gombosi, Zhenguang Huang, Lulu Zhao, Nicolas Wijsen, Angels Aran, Stefaan Poedts, Athanasios Kouloumvakos, Miikka Paassilta, Rami Vainio, Anatoly Belov, Eugenia A. Eroshenko, Maria A. Abunina, Artem A. Abunin, Christopher C. Balch, Olga Malandraki, Michalis Karavolos, Bernd Heber, Johannes Labrenz, Patrick Kühl, Alexander G. Kosovichev, Vincent Oria, Gelu M. Nita, Egor Illarionov, Patrick M. O’Keefe, Yucheng Jiang, Sheldon H. Fereira, Aatiya Ali, Evangelos Paouris, Sigiava Aminalragia-Giamini, Piers Jiggens, Meng Jin, Christina O. Lee, Erika Palmerio, Alessandro Bruno, Spiridon Kasapis, Xiantong Wang, Yang Chen, Blai Sanahuja, David Lario, Carla Jacobs, Du Toit Strauss, Ruhann Steyn, Jabus van den Berg, Bill Swalwell, Charlotte Waterfall, Mohamed Nedal, Rositsa Miteva, Momchil Dechev, Pietro Zucca, Alec Engell, Brianna Maze, Harold Farmer, Thuha Kerber, Ben Barnett, Jeremy Loomis, Nathan Grey, Barbara J. Thompson, Jon A. Linker, Ronald M. Caplan, Cooper Downs, Tibor Török, Roberto Lionello, Viacheslav Titov, Ming Zhang, Pouya Hosseinzadeh
Publikováno v:
Advances in Space Research.
Solar Energetic Particles (SEP) events are interesting from a scientific perspective as they are the product of a broad set of physical processes from the corona out through the extent of the heliosphere, and provide insight into processes of particl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b67272d272fda020c5397d3a5545985b
https://doi.org/10.1016/j.asr.2022.08.006
https://doi.org/10.1016/j.asr.2022.08.006
Publikováno v:
IGARSS
In this paper, we handle the problem of next day wildfire prediction via the use of machine learning. In contrast to most works in the relevant literature, we set the problem to its realistic basis, with respect to its large scale, the extreme imbala
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d73bb54c54474da1b3e7955991ee3a71
https://doi.org/10.1109/igarss47720.2021.9554301
https://doi.org/10.1109/igarss47720.2021.9554301
Publikováno v:
UMAP (Adjunct Publication)
More and more aspects of our everyday lives are influenced by automated decisions made by systems that statistically analyze traces of our activities. It is thus natural to question whether such systems are trustworthy, particularly given the opaquen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6641985a3a4505e686b0a61e0ef21317
https://doi.org/10.1145/3450614.3462238
https://doi.org/10.1145/3450614.3462238