Results 91 to 100 of about 573 (116)

Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications

open access: yes
While the added value of machine learning (ML) for weather and climate applications is measurable, explaining it remains challenging, especially for large deep learning models.
Beucler, Tom   +5 more
core  

Developing a core collection for the conservation of Theobroma cacao's genetic diversity. [PDF]

open access: yesBMC Genomics
Todd ET   +12 more
europepmc   +1 more source

Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change. [PDF]

open access: yesSci Adv
Merlis TM   +10 more
europepmc   +1 more source

Web-based Visualization and Analytics of Petascale data: Equity as a Tide that Lifts All Boats

open access: yes
Scientists generate petabytes of data daily to help uncover environmental trends or behaviors that are hard to predict. For example, understanding climate simulations based on the long-term average of temperature, precipitation, and other environmental ...
Ellsworth, David   +9 more
core  

Home - About - Disclaimer - Privacy