Results 141 to 150 of about 535 (196)
Machine learning models predicted crop yield and soil greenhouse gas responses to biochar application, with soil and climate conditions identified as dominant factors. Global simulations and life cycle assessment quantified spatially optimized strategies and mitigation potential.
Xingyu Lu +3 more
wiley +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Counting problems for orthogonal sets and sublattices in function fields
Abstract Let K=Fq((x−1))$\mathcal {K}=\mathbb {F}_q((x^{-1}))$. Analogous to orthogonality in the Euclidean space Rn$\mathbb {R}^n$, there exists a well‐studied notion of ultrametric orthogonality in Kn$\mathcal {K}^n$. In this paper, we extend the work of [4] on counting problems related to orthogonality in Kn$\mathcal {K}^n$.
Noy Soffer Aranov, Angelot Behajaina
wiley +1 more source
This study presents that the WRF model, coupled with bulk urban parameterization, effectively captures the summer urban heat island (UHI) patterns across the Eastern Mediterranean and Middle East, showing stronger night‐time surface UHIs (5°C–6°C) and daytime surface cool islands (up to 12.5°C).
Katiana Constantinidou +4 more
wiley +1 more source
Mesh and Model Adaptivity for Multiscale Elastoplastic Models With Prandtl‐Reuss Type Material Laws
ABSTRACT Homogenization methods simulate heterogeneous materials like composites effectively, but high computational demands can offset their benefits. This work balances accuracy and efficiency by assessing model and discretization errors of the finite element method (FEM) through an adaptive numerical scheme.
Arnold Tchomgue Simeu +2 more
wiley +1 more source
Abstract A new compilation of the complex refractive index of liquid water is presented, spanning temperatures from 240 $240$ (near homogeneous freezing) to 300 $300$ K and wavelengths from 0.034 $0.034$ μm to 10 m. The real part of the refractive index is derived using the Kramers–Kronig relation, where the imaginary part is constrained by ...
Siheng Wang +4 more
wiley +1 more source
Physics‐Constrained Network for Enhanced Extended‐Range Precipitation Forecasting in East Asia
Abstract The complex summer weather in East Asia poses significant challenges of precipitation forecasting. Despite the promising capabilities of deep learning models in conventional forecasting tasks, their black‐box nature limits physical interpretability.
Yudan Wang +7 more
wiley +1 more source
Abstract As near‐surface wind speed (NSWS) largely controls wind power generation, robust projection is vital to wind energy planning and broader sustainability goals. However, the predictive skill of climate models for NSWS remains uncertain. Analysis of Coupled Model Intercomparison Project Phase 6 simulations shows that the models reproduce the mean
Yang Xu +4 more
wiley +1 more source
Abstract Ecological Water Replenishment (EWR) is critical for restoring depleted aquifers, yet quantifying its spatiotemporal impacts remains challenging. Leveraging multi‐source data sets and Light Gradient Boosting Machine (LightGBM), this study reconstructs high‐resolution (250 m) groundwater level dynamics in the Yongding River basin, Beijing, and ...
Weican Li +7 more
wiley +1 more source

