التفاصيل البيبلوغرافية
| العنوان: |
AI4Copernicus tools and methods for bridging AI and EO: A half-day tutorial at Big Data from Space (BiDS) 2023 |
| المؤلفون: |
Troumpoukis, Antonis, Pantazi, Despina-Athanasia, Barrilero, Omar, Weikmann, Giulio, Klampanos, Iraklis |
| بيانات النشر: |
Zenodo |
| سنة النشر: |
2023 |
| المجموعة: |
Zenodo |
| مصطلحات موضوعية: |
Earth Observation, Artificial Intelligence, DIAS, platform, tutorial |
| الوصف: |
Artificial Intelligence (AI) represents a collection of tools and methodologies that have the potential of transforming virtually all aspects of human activity. Earth observation (EO) data, including satellite and in-situ, are essential for a number of applications, covering high-impact domains as diverse as security, agriculture and health. The H2020 AI4Copernicus project delivers a technological framework for developers and businesses to combine AI-infused tools and EO data and services in order to create high impact applications. This tutorial, as delivered during the Satellite Events of the Big Data from Space (BiDS) 2023 conference, presents the main technological assets AI4Copernicus brings to the table as well as its methodology and tools for linking the DIAS and AI-on-Demand platforms, through appropriately selected use-cases during a hands-on session. |
| نوع الوثيقة: |
report |
| اللغة: |
unknown |
| Relation: |
https://doi.org/10.5281/zenodo.10161456; https://doi.org/10.5281/zenodo.10161457; oai:zenodo.org:10161457 |
| DOI: |
10.5281/zenodo.10161457 |
| الاتاحة: |
https://doi.org/10.5281/zenodo.10161457 |
| Rights: |
info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode |
| رقم الانضمام: |
edsbas.4D66070E |
| قاعدة البيانات: |
BASE |