Results 251 to 260 of about 78,116 (341)
An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration. [PDF]
Ehteram M +12 more
europepmc +1 more source
Global warming is changing plant communities due to the arrival of new species from warmer regions and declining abundance of cold‐adapted species. However, experimentally testing predictions about trajectories and rates of community change is challenging because we normally lack an expectation for future community composition, and most warming ...
Billur Bektaş +33 more
wiley +1 more source
Species distribution models are key to evaluate how climate change threatens European forests and tree species distributions. However, current models struggle to integrate ecophysiological processes. Mechanistic models are complex and have high parameter requirements.
Anne Baranger +6 more
wiley +1 more source
Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration. [PDF]
Wu L, Fan J.
europepmc +1 more source
Random forest classification predictions of groundwater hydrochemical facies (HCFs) can be used for multiple purposes, including the mapping of salinity and other groundwater characteristics. Shown on the figure are predictions of HCFs at the water table across the conterminous United States.
Paul E. Stackelberg +5 more
wiley +1 more source
Integrating Landsat and Physics-Informed Neural Networks for reference evapotranspiration estimation
Arvindd Kshetrimayum +2 more
openalex +1 more source

