Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jonas Brusokas"'
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
Publikováno v:
Brusokas, J, Pedersen, T B, Siksnys, L, Zhang, D & Chen, K 2021, HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps . in e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy Systems . Association for Computing Machinery, New York, pp. 160-170, 12th ACM International Conference on Future Energy Systems, e-Energy 2021, Virtual, Online, Italy, 28/06/2021 . https://doi.org/10.1145/3447555.3464866
Proceedings of the Twelfth ACM International Conference on Future Energy Systems
e-Energy
Proceedings of the Twelfth ACM International Conference on Future Energy Systems
e-Energy
With their rising adoption and integration into smart grids, heat pumps are becoming an increasingly important source of flexible energy. Heat pump flexibility can be utilized by using controllers to remotely manage their operation while maintaining
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b033faeae2f6e14e9e4e661623946b82
https://vbn.aau.dk/ws/files/457819425/3447555.3464866.pdf
https://vbn.aau.dk/ws/files/457819425/3447555.3464866.pdf
Autor:
Linas Petkevicius, Jonas Brusokas
Publikováno v:
2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream).
Computed tomography (CT) is a widely used imaging technique in the medical field. During CT procedures patients are exposed to high amounts of radiation, posing a tangible threat to their health. Developed low-dose procedures lower exposure but produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c318d7e8af91d48d2890554207c6b551
https://doi.org/10.1109/estream50540.2020.9108883
https://doi.org/10.1109/estream50540.2020.9108883
