01419nam0-2200373---450-99000342225020331620120116145531.0978-92-79-13752-5000342225USA01000342225(ALEPH)000342225USA0100034222520100705d2009----km-y0itay0103----baengLU||||||||001yyRecovering from the crisis27 ways of tackling the employment challengeEuropean Commission, Directorate-general for employment, social affairs and equal opportunitiesLuxembourgPublications office of the European Union200962 p.ill.30 cmCrisi economicheGestionePaesi dell'Unione europeaBNCF338.543094Commissione europea :Direzione generale Occupazione, affari sociali e pari opportunità573603ITsalbcISBDec.europa.eu/social/BlobServlet?docId=4205&langId=en.Accesso libero online990003422250203316CDE 03.02 (XXVI)CDE 2458CDE 03.0200186140BKCDEMARIAS9020100705USA011533CHIARA9020100930USA011302BATCH-UPD9020111212USA011317MARIAS9020120116USA011455Recovering from the crisis1109485UNISA01515nam 22003853 450 991103932240332120251104080318.09789819515882(electronic bk.)9789819515875(MiAaPQ)EBC32384867(Au-PeEL)EBL32384867(CKB)41997170500041(EXLCZ)994199717050004120251104d2025 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence and Machine Learning for Climate Disaster Management1st ed.Singapore :Springer,2025.©2025.1 online resource (0 pages)Disaster Resilience and Green Growth SeriesPrint version: Kumar, Deepak Artificial Intelligence and Machine Learning for Climate Disaster Management Singapore : Springer,c2025 9789819515875 This edited volume highlights the importance of Artificial Intelligence (AI) and Machine Learning (ML) being utilised in climate disaster management to enhance preparedness, response, recovery, and mitigation efforts.Disaster Resilience and Green Growth SeriesKumar Deepak1354437MiAaPQMiAaPQMiAaPQ9911039322403321Artificial Intelligence and Machine Learning for Climate Disaster Management4454542UNINA