Resource demands in telco data centers

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

Solon: A Holistic Approach for Modelling, Managing and Mining Legal Sources

Autor: Marios Koniaris, George Papastefanatos, Ioannis Anagnostopoulos

Publikováno v: Algorithms, Vol 11, Iss 12, p 196 (2018)

Recently there has been an exponential growth of the number of publicly available legal resources. Portals allowing users to search legal documents, through keyword queries, are now widespread. However, legal documents are mainly stored and offered i

Externí odkaz: https://doaj.org/article/4b2dc1344bb345408e43b27a5ec5add8

Data-Driven Soiling Detection in PV Modules

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

Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data

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

'Just the Facts' with PALOMAR: Detecting Protest Events in Media Outlets and Twitter

Autor: Konstantina Papanikolaou, Haris Papageorgiou, Nikos Papasarantopoulos, Theoni Stathopoulou, George Papastefanatos

Publikováno v: Proceedings of the International AAAI Conference on Web and Social Media. 10:135-142

The volume and velocity of available online sources have changed journalistic research in terms of cost and effort required for discovering stories. However, the heterogeneity and veracity of data sources pose further obstacles in knowledge extractio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9677fed510c9c8baeca7aa256dc2d77d
https://doi.org/10.1609/icwsm.v10i2.14848