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A Geospatial atlas of honey bee forage plants and their distribution patterns in Africa and beyond. [PDF]

Sci Rep
Nganso BT, Agboka KM, Atagong SD, Topé SF, Massing T, Landmann T, Sevgan S, Mwiza W, Odera F, Piiru ED, Otieno-Ayayo ZN, Soroker V, Guimapi RA.   +12 more
europepmc   +1 more source

A method for compiling satellite image map geographic objects based on vector map data via deep learning. [PDF]

Sci Rep
Du J, Zeng D, Cai K, Qiu Y.
europepmc   +1 more source

Characterizing patients who benefit from mature medical AI models in real-world clinical applications. [PDF]

PLOS Digit Health
Chen Z, Li W, Lin Z.
europepmc   +1 more source

Geographic Information Retrieval Systems for Mobile Devices

, 2007
Ana Paula Afonso, Sérgio Freitas
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Geographic information retrieval: Modeling uncertainty of user's context

Fuzzy Sets and Systems, 2012
Geographic information retrieval (GIR) is nowadays a hot research issue that involves the management of uncertainty and imprecision and the modeling of user preferences and context. Indexing the geographic content of documents implies dealing with the ambiguity, synonymy and homonymy of geographic names in texts.
BORDOGNA, GLORIA, GHISALBERTI, GIORGIO, PSAILA, Giuseppe   +2 more
openaire   +3 more sources

Vague regions in Geographic Information Retrieval

SIGSPATIAL Special, 2011
Vagueness abounds in natural language descriptions of geographical space. We frequently refer to place names for which no universally agreed boundaries exist (e.g. the Alps, Central London, Southern Europe) and describe spatial configurations using phrases that cannot indisputably be translated to hard constraints (e.g.
S. Schockaert
openaire   +2 more sources