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Subjects: malaria; geographic information systems; epidemiology
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Source:
Epstein , A , Namuganga , J F , Nabende , I , Kamya , E V , Kamya , M R , Dorsey , G , Sturrock , H , Bhatt , S , Rodriguez-Barraquer , I & Greenhouse , B 2023 , ' Mapping malaria incidence using
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Subjects: CC398; Geographic Information Systems; MRSA
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Source:
Anker , J C H , Koch , A , Ethelberg , S , Mølbak , K , Larsen , J & Jepsen , M R 2018 , ' Distance to pig farms as risk factor for community-onset livestock-associated MRSA CC398 infection in
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Subjects: Community-Based Participatory Research; Computers; Handheld
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Source:
Knipe , D W , Pearson , M , Borgstrøm , R , Pieris , R , Weerasinghe , M , Priyadarshana , C , Eddleston , M , Gunnell , D , Metcalfe , C & Konradsen , F 2014 , ' Challenges and opportunities of a
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Subjects: classification; decision trees; index structures
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Source:
Lülf , C , Martins , D M L , Salles , M A V , Zhou , Y & Gieseke , F 2023 , RapidEarth : A Search-by-Classification Engine for Large-Scale Geospatial Imagery . in M L Damiani , M Renz , A Eldawy , P
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Subjects: biomass; climate change; datasets
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Source:
Oehmcke , S , Li , L , Revenga , J C , Nord-Larsen , T , Trepekli , K , Gieseke , F & Igel , C 2022 , Deep learning based 3D point cloud regression for estimating forest biomass . in M Renz , M Sarwat
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Subjects: /dk/atira/pure/core/keywords/TheFacultyOfScience; Faculty of Science; carbon
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Source:
Raymond , C M , Lechner , A M , Havu , M , Jalkanen , J , Lampinen , J , Antúnez , O G , Olafsson , A S , Gulsrud , N , Kinnunen , A , Backman , L , Kulmala , L & Järvi , L 2023 , ' Identifying
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Subjects: SCREE SLOPE; POSTFIRE; GEOMORPHOLOGY
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Source:
Eusébio , R P , Fonseca , P E , Rebelo , R , Mathias , M D L & Reboleira , A S P S 2023 , ' How to map potential mesovoid shallow substratum (MSS) habitats? A case study in colluvial MSS ' ,
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