Results 111 to 120 of about 259 (134)

A Global Systematic Map and Database of Climate Change Research on Cities – Insufficient Research Covers Fast-Growing Cities

Montfort S, Callaghan M, Creutzig F, Lamb W, Lu C, Repke T, Ge K, Minx J.   +7 more
europepmc   +1 more source

Modelling the Archipelago: Corfu as a Case Study for a Digital Edition of Cristoforo Buondelmonti's Liber Insularum. [PDF]

Open Res Eur
Bessi B, Fusi D.
europepmc   +1 more source

Toponymic fieldwork and related office processing: federal and provincial perspectives. V. Recognition of the names of unincorporated urban communities: the state of the art in Ontario, 1979

, 1979
openaire   +1 more source

Research on the evolution and driving factors of the coupling relationship among tourism industry, urbanization and human settlements of the urban agglomeration in the middle reaches of the Yangtze River. [PDF]

PLoS One
Yang Y, Xie A, Zhou X, Cheng K.
europepmc   +1 more source

Materiality of Memorialization: Mapping Migrant Women's Landmarks in Europe. [PDF]

Open Res Eur
Miyamoto B, Ojala-Fulwood M, Čapská V, Bakas FE, Lyman I, Barros-Del Río MA, Bostenaru Dan M, Comino A, Frigren P, Konstantinova V, Martins H, Prosinger L, Räsänen P, Ristovska-Josifovska B, Ruiz M.   +14 more
europepmc   +1 more source

Neural Network Approaches to Medical Toponym Recognition

openaire   +1 more source

The Rising Importance of Distributional Barriers to the Adoption of Climate Change Mitigation Policies

Montfort S, Fesenfeld L, Ingold K, Repke T, Callaghan M.   +4 more
europepmc   +1 more source

Improving toponym recognition accuracy of historical topographic maps

Milleville, Kenzo, Van de Weghe, N., Verstockt, Steven   +2 more
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ChineseTR: A weakly supervised toponym recognition architecture based on automatic training data generator and deep neural network

Transactions in GIS, 2022
AbstractToponym recognition is used to extract toponyms from natural language texts, which is a fundamental task of ubiquitous geographic information applications. Existing toponym recognition methods with state‐of‐the‐art performance mainly leverage supervised learning (i.e., deep‐learning‐based approaches) with parameters learned from massive ...
Qinjun Qiu, Zhong Xie, Shu Wang
exaly   +2 more sources