A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Aspens and standing dead trees, which are important to forest biodiversity, can be reliably identified from openly available ...
In short: more carbon in the air does not guarantee more carbon in the wood. Between those two lies a living network of ...
The basics of photosynthesis are something that every student learns in school: carbon dioxide, water and light in; oxygen ...
A research team from Lanzhou University, China, has improved tree-ring simulations of a widely used forest growth model, 3-PG ...
The chilly day after Thanksgiving, Susie Kocher and her family, who live in the Lake Tahoe Basin, set out on their annual tradition of 28 years: the Christmas tree hunt in a local national forest.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback