Neural machine translation for low-resource languages: A survey

S Ranathunga, ESA Lee, M Prifti Skenduli… - ACM Computing …, 2023 - dl.acm.org
Neural Machine Translation (NMT) has seen tremendous growth in the last ten years since
the early 2000s and has already entered a mature phase. While considered the most widely …

[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography

P Liu, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …

The same course, different access: the digital divide between urban and rural distance education students in South Africa

R Lembani, A Gunter, M Breines… - Journal of Geography in …, 2020 - Taylor & Francis
Access to education is a significant determinant in future success, not only for a country but
equally for individuals. Higher Education (HE) thus is an integral part of the Sustainable …

Doing digital methods

R Rogers - 2024 - torrossa.com
Untitled Page 1 Page 2 DOING DIGITAL METHODS Page 3 Page 4 RICHARD ROGERS
DOING DIGITAL METHODS 2nd Edition Page 5 1 Oliver’s Yard 55 City Road London EC1Y …

Digital turn, digital geographies?

J Ash, R Kitchin, A Leszczynski - Progress in Human …, 2018 - journals.sagepub.com
Geography is in the midst of a digital turn. This turn is reflected in both geographic
scholarship and praxis across sub-disciplines. We advance a threefold categorization of the …

Recontextualising remote working and its HRM in the digital economy: An integrated framework for theory and practice

R Donnelly, J Johns - The International Journal of Human …, 2021 - Taylor & Francis
Continuing advances in digital technology are producing widespread changes in work and
its management, particularly where work is performed away from an employer's premises …

Graph neural networks for intelligent transportation systems: A survey

S Rahmani, A Baghbani, N Bouguila… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Graph neural networks (GNNs) have been extensively used in a wide variety of domains in
recent years. Owing to their power in analyzing graph-structured data, they have become …

Social media and the city: Rethinking urban socio-spatial inequality using user-generated geographic information

T Shelton, A Poorthuis, M Zook - Landscape and urban planning, 2015 - Elsevier
Big data is increasingly seen as a way of providing a more 'scientific'approach to the
understanding and management of cities. But most geographic analyses of geotagged …

The geography of Pokémon GO: beneficial and problematic effects on places and movement

A Colley, J Thebault-Spieker, AY Lin… - Proceedings of the …, 2017 - dl.acm.org
The widespread popularity of Pokémon GO presents the first opportunity to observe the
geographic effects of location-based gaming at scale. This paper reports the results of a …

'Anyone can edit', not everyone does: Wikipedia's infrastructure and the gender gap

H Ford, J Wajcman - Social studies of science, 2017 - journals.sagepub.com
Feminist STS has long established that science's provenance as a male domain continues
to define what counts as knowledge and expertise. Wikipedia, arguably one of the most …