Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Theofilos Kakantousis"'
Autor:
Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Kraemer, Torbjorn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, George Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9038-9063 (2021)
Bringing together a number of cutting-edge technologies that range from storing extremely large volumes of data all the way to developing scalable machine learning and deep learning algorithms in a distributed manner and having them operate over the
Externí odkaz:
https://doaj.org/article/2979794fa9834f72b999401e30c75266
Autor:
Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1889 (2022)
This paper introduces the Hopsworks platform to the entire Earth Observation (EO) data community and the Copernicus programme. Hopsworks is a scalable data-intensive open-source Artificial Intelligence (AI) platform that was jointly developed by Logi
Externí odkaz:
https://doaj.org/article/0da81410ad064ed29475012bfab4905f
Autor:
Manolis Koubarakis, Konstantina Bereta, Dimitris Bilidas, Konstantinos Giannousis, Theofilos Ioannidis, Despina-Athanasia Pantazi, George Stamoulis, Seif Haridi, Vladimir Vlassov, Lorenzo Bruzzone, Claudia Paris, Torbjørn Eltoft, Thomas Krämer, Angelos Charalabidis, Vangelis Karkaletsis, Stasinos Konstantopoulos, Jim Dowling, Theofilos Kakantousis, Mihai Datcu, Corneliu Octavian Dumitru, Florian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::93e122c087772914e12cca10819f6760
Publikováno v:
ICDCS
Hadoop is a popular system for storing, managing,and processing large volumes of data, but it has bare-bonesinternal support for metadata, as metadata is a bottleneck andless means more scalability. The result is a scalable platform withrudimentary a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40d06b8af149d37d46d9d4d7fed502b2
https://doi.org/10.1109/icdcs.2017.41
https://doi.org/10.1109/icdcs.2017.41
Publikováno v:
WONS
RESTful services gained a lot of attention recently, even in the enterprise world, which is traditionally more web-service centric. Data centric RESfFul services, as previously mainly known in web environments, established themselves as a second para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e2cb5d5ef4afb11e1fee5fc58e6897c
https://doi.org/10.1109/wons.2014.6814719
https://doi.org/10.1109/wons.2014.6814719
Autor:
Theofilos Kakantousis, Adam Dou, Vana Kalogeraki, Giorgos Gasparis, Dimitrios Gunopulos, Ioannis Boutsis
Publikováno v:
MDM
The recent years have seen a proliferation of community sensing or participatory sensing paradigms, where individuals rely on the use of smart and powerful mobile devices to collect, store and analyze data from everyday life. Due to this massive coll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54f5844f964cb37d3dd24f9cc316a2ff
https://doi.org/10.1109/mdm.2012.75
https://doi.org/10.1109/mdm.2012.75
Autor:
Vana Kalogeraki, Theofilos Kakantousis
Publikováno v:
SAINT
The proliferation of powerful, programmable mobile devices along with the availability of wide-area connectivity has created opportunities for participatory sensing applications where users sense and share location, motion and acoustic data in a netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf94ff776e8eb4a9c99e572f1dcdb20b
https://doi.org/10.1109/saint.2012.36
https://doi.org/10.1109/saint.2012.36