Results 131 to 140 of about 3,790 (195)

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

open access: yesInternational Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo   +5 more
wiley   +1 more source

A novel AI-enhanced microwave sensor employing defected ground structure for non-invasive glucose monitoring. [PDF]

open access: yesSci Rep
Tekşen FA   +7 more
europepmc   +1 more source

Effects of testosterone and high‐dose anabolic steroids on orthodontic‐induced bone remodeling and root resorption: An animal study

open access: yesJournal of Periodontology, EarlyView.
Abstract Background This study investigates the impact of disruptions in testosterone levels on bone remodeling, root resorption, and periodontal ligament (PDL) during orthodontic tooth movement (OTM) in a pubertal male rat model. Methods Testosterone deficiency was induced through orchiectomy, and the anabolic‐androgenic steroid (AAS, testosterone ...
Caio Luiz Bitencourt Reis   +11 more
wiley   +1 more source

High‐Fidelity Synthetic Raman Spectra Generation for Sinter Basicity Prediction Using β$$ \beta $$‐Variational Autoencoders

open access: yesJournal of Raman Spectroscopy, EarlyView.
A β$$ \beta $$‐variational autoencoder with β$$ \beta $$ = 0.1 generates high‐fidelity synthetic Raman spectra of industrial sinter with a 16‐fold improvement in spectral fidelity over SMOTE‐based augmentation (KL divergence: 0.0075 vs. 0.121), enabling reliable basicity prediction (R2 = 0.83) from limited labeled datasets.
Marjorie Ariele Pereira   +4 more
wiley   +1 more source

Total monomeric anthocyanin concentration estimation of red wines based on color data using multivariate statistical analysis and machine learning

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Red wine is a high‐value grape derivative containing complex chemical compounds that dictate its quality. Qualitative and quantitative determination of these compounds is essential for standardizing and classifying the product. This proof‐of‐concept study integrates chemometric methods and machine learning algorithms to establish ...
Emirhan Atlayan   +2 more
wiley   +1 more source

Impact of Road Network Development on the Spatiotemporal Soil Erosion in the Three‐River Source Region

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT As a vital water conservation region in China, the Three River Source Region (TRSR) plays a critical role in safeguarding regional ecological security and ensuring the sustainable utilization of water resources. In this study, the Revised Universal Soil Loss Equation (RUSLE) was employed to quantify soil erosion in the study area across three ...
Fei Liu   +3 more
wiley   +1 more source

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