Anomaly Detection in Weather Phenomena: News and Numerical Data-Driven Insights into the Climate Change in Romania’s Historical Regions

Abstract The extreme phenomena have been increased recently in frequency and intensity causing numerous damage that cannot be neglected by residents, local authorities and social media. More European countries are experiencing a growing number of occurrences, such as floods, powerful winds, storms,...

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Hlavní autoři:	Adela Bâra, Alin Gabriel Văduva, Simona-Vasilica Oprea
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2024-05-01
Edice:	International Journal of Computational Intelligence Systems
Témata:	Climate change Extreme weather Anomaly detection Data extracting insights
On-line přístup:	https://doi.org/10.1007/s44196-024-00536-2
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