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AI-based strategic foresight for environment protection [Elektronski vir]Rožanec, Jože Martin ...The Environment Protection Foresighter aims to deliver low-latency strategic foresight by analyzing massive amounts of data and leveraging Artificial Intelligence to extract knowledge, enrich ... existing data, and provide insights while involving experts in a feedback loop to learn from them and increase the foresight quality over time. In addition, it aims to identify how events relate to environment-related Sustainable Development Goals and perform horizon scanning for environment-related issues. It will be developed within the Graph-Massivizer project, funded by the Horizon Europe research and innovation program, leveraging the platform for high-performance and sustainable graph processing of data.Source: Symposium on AI, Data and Digitalization (SAIDD 2023) : Sogndal – Norway, 9-10 May 2023 (Str. 7-12)Type of material - conference contribution ; adult, seriousPublish date - 2023Language - englishCOBISS.SI-ID - 181391107
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Rožanec, Jože Martin | 55570 |
Prodan, Radu | ![]() |
Roman, Dumitru | ![]() |
Leban, Gregor, računalništvo | 23398 |
Grobelnik, Marko, 1966- | 17137 |
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