Deep Learning with Open Data for Desert Road Mapping

Autor: Christopher Stewart, Michele Lazzarini, Adrian Luna, Sergio Albani

Publikováno v: Remote Sensing, Vol 12, Iss 14, p 2274 (2020)

The availability of free and open data from Earth observation programmes such as Copernicus, and from collaborative projects such as Open Street Map (OSM), enables low cost artificial intelligence (AI) based monitoring applications. This creates oppo

Externí odkaz: https://doaj.org/article/0904445fef284bbaa3bc36f3ea04f89f

New Scenarios Shaping a Digital Twin Earth for Security

Autor: Sergio Albani, Michele Lazzarini, Paula Saameno, Adrian Luna, Omar Barrilero

Publikováno v: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::37591b0169f99976791fe1f35b309182
https://doi.org/10.1109/igarss46834.2022.9884363

Enabling FAIR research in Earth Science through research objects

Autor: Rosemarie Leone, Ilkay Altintas, Charles Meertens, Vito Romaniello, Stefano Salvi, Simone Mantovani, Cristiano Silvagni, Francesco De Leo, Federica Foglini, Jose Manuel Gomez-Perez, Sergio Albani, Melissa A. Genazzio, Henry W. Loescher, Raul Palma, Fran Boler, Mirko Albani, Fulvio Marelli, Michele Lazzarini, Andres Garcia-Silva, Marcin Krystek, Timothy Aldridge, Valentina Grande, Daniel Crawl, Elisa Trasatti, Helen Glaves, Hazel J. Napier, Christine Laney

Publikováno v: Future generation computer systems 98 (2019): 550–564. doi:10.1016/j.future.2019.03.046
info:cnr-pdr/source/autori:Garcia-Silva A.; Gomez-Perez J.M.; Palma R.; Krystek M.; Mantovani S.; Foglini F.; Grande V.; De Leo F.; Salvi S.; Trasatti E.; Romaniello V.; Albani M.; Silvagni C.; Leone R.; Marelli F.; Albani S.; Lazzarini M.; Napier H.J.; Glaves H.M.; Aldridge T.; Meertens C.; Boler F.; Loescher H.W.; Laney C.; Genazzio M.A.; Crawl D.; Altintas I./titolo:Enabling FAIR research in Earth Science through research objects/doi:10.1016%2Fj.future.2019.03.046/rivista:Future generation computer systems/anno:2019/pagina_da:550/pagina_a:564/intervallo_pagine:550–564/volume:98

Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement, research objects contain and describe scientific information and reso

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ea6dde929a9d7641dac2478d4d123a
https://doi.org/10.1016/j.future.2019.03.046

Cloud comuting case studies and applications for the space and security domain

Autor: Anca Popescu, Adrian Luna, Sergio Albani, Vasileios Kalogirou, Jean-Philippe Robin

Publikováno v: Conference proceedings published by the Joint Research Centre (JRC), the European Commission’s science and knowledge service.
Proc. of the 2019 conference on Big Data from Space (BiDS’2019), EUR 29660 EN, ISBN 978-92-76-00034-1, doi:10.2760/848593Conference on Big Data from Space (BiDS19), Munich, Germany, 2019-02-19-2019-02-21

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::fcd02956b4a63f050179180db12a556e

The BigDataEurope Platform - Supporting the Variety Dimension of Big Data

Autor: Sören Auer, Ivan Ermilov, Michele Lazzarini, Erika Pauwels, Athanasios Davettas, Sergio Albani, George Stamoulis, Mohamed Nadjib Mami, Emanuele Angiuli, Ronny Siebes, Simon Scerri, Maria-Esther Vidal, Andreas Ikonomopoulos, Mandy Vlachogiannis, Hajira Jabeen, Vangelis Karkaletsis, Victor de Boer, Efstathios Grigoropoulos, Pythagoras Karampiperis, Gezim Sejdiu, Nikiforos Pittaras, Giorgos Argyriou, Spyros Andronopoulos, Charalambos Pappas, Stasinos Konstantopoulos, Paulo Nunes, George Papadakis, Jens Lehmann, Aad Versteden, Axel-Cyrille Ngonga Ngomo, Manolis Koubarakis, Angelos Charalambidis, George Giannakopoulos, Iraklis A. Klampanos

Publikováno v: Auer, S, Scerri, S, Versteden, A, Pauwels, E, Charalambidis, A, Konstantopoulos, S, Lehmann, J, Jabeen, H, Ermilov, I, Sejdiu, G, Ikonomopoulos, A, Andronopoulos, S, Vlachogiannis, M, Pappas, C, Davettas, A, Klampanos, I A, Grigoropoulos, E, Karkaletsis, V, Boer, V D, Siebes, R, Mami, M N, Albani, S, Lazzarini, M, Nunes, P, Angiuli, E, Pittaras, N, Giannakopoulos, G, Argyriou, G, Stamoulis, G, Papadakis, G, Koubarakis, M, Karampiperis, P, Ngomo, A-C N & Vidal, M-E 2017, The BigDataEurope Platform-Supporting the Variety Dimension of Big Data . in Web Engineering-17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings . pp. 41-59 . https://doi.org/10.1007/978-3-319-60131-1_3
Lecture Notes in Computer Science ISBN: 9783319601304
ICWE
Web Engineering-17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings, 41-59
STARTPAGE=41;ENDPAGE=59;TITLE=Web Engineering-17th International Conference, ICWE 2017, Rome, Italy, June 5-8, 2017, Proceedings

The management and analysis of large-scale datasets - described with the term Big Data - involves the three classic dimensions volume, velocity and variety. While the former two are well supported by a plethora of software components, the variety dim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1266cbb7f2e93b15483bdffc1cc365bf
https://doi.org/10.1007/978-3-319-60131-1_3