Zobrazeno 1 - 10
of 47
pro vyhledávání: '"George, Panagopoulos"'
Autor:
Ira Avnieli, Paolo Consigliere, Giuseppe Sforza, Luis Natera, Andreas Leonidou, George Panagopoulos, Agneish Dutta, Georgios Arealis, Ofer Levy
Publikováno v:
JSES International, Vol 8, Iss 6, Pp 1358- (2024)
Externí odkaz:
https://doaj.org/article/d3ad1660430b4c4696e3dec9c3bcc369
Publikováno v:
Journal of High Energy Physics, Vol 2021, Iss 10, Pp 1-14 (2021)
Abstract We present a new mechanism for inflation which exhibits a speed limit on scalar motion, generating accelerated expansion even on a steep potential. This arises from explicitly integrating out the short modes of additional fields coupled to t
Externí odkaz:
https://doaj.org/article/920c9ba6b4b242e3b632ae7ebea20834
Autor:
Vagia Ioanna Makri, George Panagopoulos, Konstantinos Nikolaou, Spyridon Bellas, Nikos Pasadakis
Publikováno v:
Materials Proceedings, Vol 5, Iss 1, p 70 (2021)
It is evident that the increased focus on energy transition, will increase the demand for gas as it is the transitional fuel to the net zero CO2 emission era. The West Katakolo field is the only oil and gas discovery in Western Greece, and it is oper
Externí odkaz:
https://doaj.org/article/a2265ab4f7d64506a8dca02e2d066f0f
Publikováno v:
Arabian Journal for Science and Engineering. 47:7449-7465
The focus on exploiting natural gas resources has been increased in the recent years since it was characterized as the transitional fuel to a net-zero era. Consequently, a reevaluation of the gas resources under a new perspective seems to be logical.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecf8206bbbce229d304b177a006954d7
https://doi.org/10.1007/s13369-022-06727-3
https://doi.org/10.1007/s13369-022-06727-3
Autor:
Marios Costa, George Panagopoulos, Haris Panagopoulos, G. Spanoudesa, H. Herodotoua, P. Philippidesa
Publikováno v:
Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021).
We investigate the renormalization of the Gluino-Glue operator, using both Lattice Perturbation Theory (LPT) and a Gauge Invariant Renormalization Scheme (GIRS). The latter scheme involves gauge-invariant Green's functions of two operators at differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95f6853855b5dbe34ade46b69cf4e005
https://doi.org/10.22323/1.396.0389
https://doi.org/10.22323/1.396.0389
Autor:
George Panagopoulos, Ioannis Pavlidis
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:841-851
Both distracted and aggressive driving are habitual in nature, constituting an insurance risk, which has been difficult to quantify. Here, in this paper, we propose a method that produces short term predictions for these two dangerous driving behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4fe92876bd48f77d94fd5111dac066f
https://doi.org/10.1109/tits.2019.2910157
https://doi.org/10.1109/tits.2019.2910157
Autor:
Charalampos G. Spilianakis, Tomas Zelenka, George Panagopoulos, Konstantinos C. Tsolis, Petros Tzerpos, Dionysios-Alexandros Papamatheakis, David Stanek, Vassilis M. Papadakis
Intracellular space is demarcated into membraneless bodies and compartments via the process of liquid-liquid phase separation (LLPS). Phase separated condensates formed by proteins, RNA and/or other biomolecules are associated with many cellular func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::638b562a0c5436ae7483bd13832fec05
https://doi.org/10.1101/2021.08.11.455932
https://doi.org/10.1101/2021.08.11.455932
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030742959
ICWE
21st International Conference on Web Engineering (ICWE)
21st International Conference on Web Engineering (ICWE), May 2021, Biarritz, France
ICWE
21st International Conference on Web Engineering (ICWE)
21st International Conference on Web Engineering (ICWE), May 2021, Biarritz, France
International audience; The problem of maximizing or minimizing the spreading in a social network has become more timely than ever with the advent of fake news and the coronavirus epidemic. The solution to this problem pertains to influence maximizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aea019a529f11df6680779b60a50ca8b
https://doi.org/10.1007/978-3-030-74296-6_48
https://doi.org/10.1007/978-3-030-74296-6_48
Publikováno v:
Predicting the Dynamics of Research Impact ISBN: 9783030866679
Scientific impact has been the center of extended debate regarding its accuracy and reliability. From hiring committees in academic institutions to governmental agencies that distribute funding, an author’s scientific success as measured by h-index
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f77b00a37c28b4981b7fd5c6cfa14c
https://doi.org/10.1007/978-3-030-86668-6_8
https://doi.org/10.1007/978-3-030-86668-6_8
Autor:
Nicolas Collignon, Benedek Rozemberczki, Rik Sarkar, Yixuan He, Paul Scherer, Alexander Riedel, Maria Astefanoaei, Guzmán López, Ferenc Béres, George Panagopoulos, Oliver Kiss
Publikováno v:
Rozemberczki, B, Scherer, P, He, Y, Panagopoulos, G, Riedel, A, Astefanoaei, M S, Kiss, O, Béres, F, López, G, Collignon, N & Sarkar, R 2021, PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models . in G Demartini, G Zuccon, J S Culpepper, Z Huang & H Tong (eds), CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1-5, 2021 . Association for Computing Machinery, pp. 4564-4573 . https://doi.org/10.1145/3459637.3482014
CIKM
Rozemberczki, B, Scherer, P, He, Y, Panagopoulos, G, Riedel, A, Astefanoaei, M, Kiss, O, Beres, F, López, G, Collignon, N & Sarkar, R 2021, PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models . in CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management . Association for Computing Machinery (ACM), pp. 4564–4573, 30th ACM International Conference on Information and Knowledge Management, Gold Coast, Queensland, Australia, 1/11/21 . https://doi.org/10.1145/3459637.3482014
CIKM
Rozemberczki, B, Scherer, P, He, Y, Panagopoulos, G, Riedel, A, Astefanoaei, M, Kiss, O, Beres, F, López, G, Collignon, N & Sarkar, R 2021, PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models . in CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management . Association for Computing Machinery (ACM), pp. 4564–4573, 30th ACM International Conference on Information and Knowledge Management, Gold Coast, Queensland, Australia, 1/11/21 . https://doi.org/10.1145/3459637.3482014
We present PyTorch Geometric Temporal a deep learning framework combining state-of-the-art machine learning algorithms for neural spatiotemporal signal processing. The main goal of the library is to make temporal geometric deep learning available for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8003fd3766bbede9435be31164a1b04e
https://pure.itu.dk/portal/da/publications/da6e2236-eb6c-4468-918d-4907c16c869b
https://pure.itu.dk/portal/da/publications/da6e2236-eb6c-4468-918d-4907c16c869b