Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Rocio Nahime Torres"'
Autor:
Rocio Nahime Torres, Piero Fraternali
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-14 (2023)
Measurement(s) Landfills detections in very high-resolution remote sensing imagery Technology Type(s) remote sensing imagery Sample Characteristic - Environment landfill Sample Characteristic - Location Region of Lombardy
Externí odkaz:
https://doaj.org/article/d235eefbd7894db680e41db3c061df96
Autor:
Rocio Nahime Torres, Piero Fraternali
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4520 (2021)
Illegal landfills are uncontrolled disposals of waste that cause severe environmental and health risk. Discovering them as early as possible is of prominent importance for preventing hazards, such as fire pollution and leakage. Before the digital era
Externí odkaz:
https://doaj.org/article/21f083e58a4e412c939395e4bb1a8bd0
Autor:
Niccoló Zangrando, Piero Fraternali, Rocio Nahime Torres, Marco Petri, Nicoló Oreste Pinciroli Vago, Sergio Herrera
Publikováno v:
Advanced Analytics and Learning on Temporal Data ISBN: 9783031243776
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06be65c48498b1c0357508e337b33e75
https://doi.org/10.1007/978-3-031-24378-3_12
https://doi.org/10.1007/978-3-031-24378-3_12
Publikováno v:
Photochemistry and Photobiology. 97:110-121
Optical properties of plant leaves are relevant to evaluate their physiological state and stress effect. The main objective of this work was to study how variegation, pigment composition or reflective features modifies leaves' photophysical behavior.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::779e4617b884fb7246564c50f8949fcb
https://doi.org/10.1111/php.13273
https://doi.org/10.1111/php.13273
Autor:
Joao Pita Costa, Piero Fraternali, Kalman Meth, Paul Mundt, Giovanni Quattrocchi, Ralf Schneider, Kamil Tokmakov, Rocio Nahime Torres
Publikováno v:
Deployment and Operation of Complex Software in Heterogeneous Execution Environments ISBN: 9783031049606
This chapter describes the various use cases of the SODALITE project in more detail. Each use case is representative of a unique infrastructure and operational environment supported by SODALITE: Snow (Cloud/OpenStack), Clinical Trials (HPC/Torque), a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb1a560326214331220d6a163408f4d
https://doi.org/10.1007/978-3-031-04961-3_7
https://doi.org/10.1007/978-3-031-04961-3_7
Publikováno v:
Applied Geomatics. 12:225-246
Landform detection and analysis from Digital Elevation Models (DEM) of the Earth has been boosted by the availability of high-quality public data sets. Current landform identification methods apply heuristic algorithms based on predefined landform fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d8363a2095088dd597d30215d135c87
https://doi.org/10.1007/s12518-019-00295-2
https://doi.org/10.1007/s12518-019-00295-2
Publikováno v:
DSAA
2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)
2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)
Remote sensing image scene classification consists of classifying images of the Earth surface into scene categories that represent different semantic ones based on the ground objects and their spatial arrangement. Finding the objects within a scene i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0336d1e7ba2b905f2b1080a5c801ff8e
http://hdl.handle.net/11311/1204959
http://hdl.handle.net/11311/1204959
Autor:
Ralf Schneider, Kamil Tokmakov, Dimitris Liparas, Dennis Hoppe, Kalman Meth, Elisabetta Di Nitto, Paul Mundt, Román Sosa González, Airán González Gómez, Mario Matínez Requena, Yosu Gorroñogoitia, Dragan Radolović, Piero Fraternali, Rocio Nahime Torres, Georgios Meditskos, Stefanos Vrochidis, Karthee Sivalingam, Indika Kumara
In this deliverable, we report on our key contributions towards the implementation and evaluation of the SODALITE platform and use cases. Whereas Deliverable D6.1 paved the way in M6 for the SODALITE platform by detailing the overall implementation p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1326173442d0521605008a30c3790611
Autor:
Alfio Lazzaro, Karthee Sivalingam, Nina Mujkanovic, Indika Kumara, Piero Fraternali, Rocio Nahime Torres, Giovanni Quattrocchi, Kamil Tokmakov, Ralf Schneider, Paul Mundt
This deliverable reports on the progress of the SODALITE project in developing a model for application and infrastructure performance. Application performance deployed in an infrastructure can be predicted from the Performance Model of the applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a2ded60051010fc6e4e1e6e18beda6a
Autor:
Kalman Meth, Dimitris Liparas, Kamil Tokmakov, Ralf Schneider, Paul Mundt, Román Sosa González, Yosu Gorroñogoitia, Dragan Radolović, Javier Carnero, Elisabetta Di Nitto, Piero Fraternali, Rocio Nahime Torres, Panos Mitzias, Adrian Tate, Karthee Sivalingam
This deliverable presents the time plan for the development of the SODALITE platform, as well as the implementation plan of the project’s use cases. This document is delivered in parallel to deliverable D2.1 “Requirements, KPIs, evaluation plan a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bfac49bbe4efc302bf0a0c33252f0a3