Results 181 to 190 of about 5,679 (259)

Kinetic parameter prediction using neural networks identifies limitations to C4 photosynthesis

open access: yesNew Phytologist, Volume 251, Issue 3, Page 1578-1594, August 2026.
Schematic overview of the generation of artificial training data and training of neural networks in C4TUNE. Summary Kinetic models of photosynthesis enable time‐resolved predictions of traits related to this key process and provide the means to identify factors limiting photosynthesis.
Philipp Wendering   +4 more
wiley   +1 more source

Evaluation of AMSU‐A and MHS Radiance Assimilation Strategies in MPAS–JEDI 4DEnVar for Mountain‐to‐Plain Convection Over Beijing, China

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 13, 16 July 2026.
Abstract To improve numerical prediction of mountain‐to‐plain (MTP) convection over the Beijing region, this study uses the MPAS–JEDI four‐dimensional ensemble‐variational (4DEnVar) data assimilation system on a global 3–60 km variable‐resolution mesh to evaluate assimilation strategies for radiances from the Advanced Microwave Sounding Unit‐A (AMSU‐A)
W. J. Cheng, L. K. Ran
wiley   +1 more source

Enabling rapid and accurate grand discrimination of flue-cured tobacco: a near-infrared hyperspectral and machine learning approach. [PDF]

open access: yesFront Plant Sci
Zou J   +15 more
europepmc   +1 more source

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