Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ioannis Prapas"'
Autor:
Anastasios Mantas, Filippos Yfantis, Dimitris Bilidas, George Stamoulis, Spyros Kondylatos, Ioannis Prapas, Ioannis Papoutsis, Jose Maria Tarraga Habas, Eva Sevillano Marco, Fabien Castel, Camille Laine, Manolis Koubarakis
Publikováno v:
IEEE Access, Vol 12, Pp 130356-130374 (2024)
We present Plato, a novel semantic data cube system leveraging Ontology-Based Data Access technologies. The concept of semantic data cubes, pioneered by Augustin et al., offers a novel approach to managing Earth Observation data, intertwining symboli
Externí odkaz:
https://doaj.org/article/52b3168ad4dc40329ec6d1f72c1e3af4
Autor:
Spyros Kondylatos, Ioannis Prapas, Michele Ronco, Ioannis Papoutsis, Gustau Camps‐Valls, María Piles, Miguel‐Ángel Fernández‐Torres, Nuno Carvalhais
Publikováno v:
Geophysical Research Letters, Vol 49, Iss 17, Pp n/a-n/a (2022)
Abstract Climate change exacerbates the occurence of extreme droughts and heatwaves, increasing the frequency and intensity of large wildfires across the globe. Forecasting wildfire danger and uncovering the drivers behind fire events become central
Externí odkaz:
https://doaj.org/article/8e29ebba99f7452a83dafc660ca1e2de
Autor:
Ioannis Prapas, Ilektra Karasante, Akanksha Ahuja, Spyros Kondylatos, Eleanna Panagiotou, Charalampos Davalas, Lazaro Alonso, Rackhun Son, Michail Dimitrios, Nuno Carvalhais, Ioannis Papoutsis
Due to climate change, we expect an exacerbation of fire in Europe and around the world, with major wildfire events extending to northern latitudes and boreal regions [1]. In this context, it is important to improve our capabilities to anticipate fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75a871bd4a7ce679b80e21368033403e
https://doi.org/10.5194/egusphere-egu23-5443
https://doi.org/10.5194/egusphere-egu23-5443
Publikováno v:
Datenbank-Spektrum. 21:203-212
Deep Learning (DL) has consistently surpassed other Machine Learning methods and achieved state-of-the-art performance in multiple cases. Several modern applications like financial and recommender systems require models that are constantly updated wi
Autor:
Nilufer Rahmioglu, Michail Matalliotakis, Maria I. Zervou, George N. Goulielmos, George Koumantakis, Ioannis Kalogiannidis, Demetrios A. Spandidos, Krina T. Zondervan, Charoula Matalliotaki, Ioannis Matalliotakis, Ioannis Prapas
Publikováno v:
Molecular Medicine Reports
Endometriosis is a benign gynecologic disorder, affecting up to 10% of women, characterized by the presence of functional endometrial tissue at ectopic positions generally within the peritoneum. It is a heritable condition influenced by multiple gene
Publikováno v:
SETN
We approach the problem of human action recognition in videos by distinguishing between simple and complex actions. To recognize simple actions, we take advantage of the latest advances with 3D convolutional networks, which are able to offer a generi
Autor:
Ospan A. Mynbaev, Chrysoula Kitsou, Ioannis Prapas, Ioannis Georgiou, Ioannis P. Kosmas, Vasiliki Galani, Dimitrios Peschos, Herman Tournaye, Athanasios Zikopoulos, Nikolaos Prapas, Sofia Markoula, Leandros Lazaros
Publikováno v:
Gynecological Endocrinology. 31:702-707
The usefulness of various pathways inhibitors, Everolimus, an inhibitor of mammalian target of rapamycin (mTOR), Infliximab, a monoclonal antibody which blocks the tumor necrosis factor-a (TNF-a), Erlotinib, a tyrosine protein kinase inhibitor of the
Autor:
Ioannis P. Kosmas, Andrea Tinelli, Nikolaos Prapas, Chrysoula Kitsou, Ioannis Prapas, Ospan A. Mynbaev, Alexandros Dalkalitsis, Christos Tzallas, Ioannis Georgiou, Leandros Lazaros
Publikováno v:
Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology. 32(11)
The efficacy of pathways inhibition and the combined effect of Everolimus (mTOR inhibitor) and Verapamil (CYP3A inhibitor) in ovarian hyperstimulation syndrome (OHSS) need to be tested. Therefore, the impact of a leucotriene receptor antagonist, an a
Autor:
Nikolaos Prapas, Chrysoula Kitsou, Elissavet Hatzi, Ioannis Prapas, Konstantinos Zikopoulos, Ioannis Georgiou, Aggelos Euaggelou, Herman Tournaye, Vasiliki Galani, Ospan A. Mynbaev, Ioannis P. Kosmas, Leandros Lazaros
Publikováno v:
Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology. 30(8)
OBJECTIVE: The efficacy of vascular endothelial growth factor (VEGF), COX-2, calcium and aromatase inhibitors in an ovarian hyperstimulation syndrome (OHSS) rat model was tested. METHODS: One hundred and eight female Wistar rats were randomly divided
Autor:
Spyros Kondylatos, Ioannis Prapas, Michele Ronco, Ioannis Papoutsis, Gustau Camps‐Valls, María Piles, Miguel‐Ángel Fernández‐Torres, Nuno Carvalhais
Publikováno v:
Geophysical Research Letters
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Climate change exacerbates the occurrence of extreme droughts and heatwaves, increasing the frequency and intensity of large wildfires across the globe. Forecasting wildfire danger and uncovering the drivers behind fire events become central for unde