Navigating the Dynamic Heterogeneous Computing Sphere: The Role of EdgeHarbor as a Multi-Edge Orchestrator
Euro-Par 2024 Conference
The term ‘Dynamic Heterogeneous Computing Sphere’ is used to describe a computing paradigm that is heterogeneous, volatile and highly dynamic.
Data Science Workflows for the CANDELA Project
Publication in Conference proceedings/Workshop “Big Data from Space” (BiDS’19), Munich, Germany, 19-21 February 2019. ISBN 978-92-76-00034-1 ISSN 1831-9424 doi: 10.2760/848593
Artificial Intelligence Data Science Methodology for Earth Observation
Chapter in Book "Advanced Analytics and Artificial Intelligence Applications", 978-1-78984-639-3, by IntechOpen
Earth Observation Data Mining: A use case for Forest Monitoring
Paper in the IEEE Geoscience and Remote Sensing Society (IGARSS) 2019 Conference