Results 1 to 10 of about 33,136,764 (335)
Deep learning for spatiotemporal forecasting in Earth system science: a review
Deep learning (DL) has demonstrated strong potential in addressing key challenges in spatiotemporal forecasting across various Earth system science (ESS) domains.
Manzhu Yu, Qunying Huang, Zhenlong Li
semanticscholar +1 more source
Lexical Features of the Chinese Science Fiction Novel "The Wandering Earth"Wandering Earth is one of the major works of Chinese science fiction literature in recent years. By constructing a huge escape plan for the Earth, the novel artistically shows the
Rokaia Atef Mohamed
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Reimagining Geoscience Education for Sustainability
Geoscience is crucial for addressing sustainability challenges related to climate change, the energy transition, water resources management, and natural hazards.
Ellen P. Metzger
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Editorial: Artificial intelligence and machine learning in Earth science
Sid-Ali Ouadfeul +3 more
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Christine Porter called for three forms of rigor—emotional, ethical, and epistemological—to be applied to academic research about sustainable food systems.
Katharine Bradley
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Summary: This study aimed to develop a methodology to strengthen coordination between ground ambulances and helicopter emergency medical services (EMS) for rapid patient transport.
Soyoung Jung, Xiao Qin, Sooyeon Lim
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The EPOS multi-disciplinary Data Portal for integrated access to solid Earth science datasets. [PDF]
Bailo D +6 more
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Google Earth as a Tool for Supporting Geospatial Thinking
In landscape planning and design, geospatial technologies (GSTs) are used to aid in visualizing and interpreting geographic environments, identifying geospatial patterns, and making decisions around information based on maps and geospatial information ...
Allison J. Jaeger
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Media Genealogy| Is the Earth an Optical Medium? An Interview with Chris Russill
A discussion between Canadian media theorist Chris Russill, associate professor at Carleton University, and Kate Maddalena, assistant professor at the University of North Carolina Wilmington, articulates Russill’s work in terms of current conversations ...
Kate Maddalena, Chris Russill
doaj
The FAIR Principles—Findable, Accessible, Interoperable, and Reusable—offer a widely accepted framework for improving the sharing and reuse of digital scientific data by both human and machine users.
Ge Peng +8 more
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