Results 71 to 80 of about 29,456 (261)
Enhancing the Interpretability of SHAP Values Using Large Language Models
8 ...
Zeng, Xianlong, Zhu, Kewen
openaire +3 more sources
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
Background Early detection and accurate prediction of bipolar disorders (BDs) comorbidity in individuals with attention-deficit/hyperactivity disorder (ADHD) are clinically critical.
Yen-Shan Yang +6 more
doaj +1 more source
Explainable deep learning with Shapley additive explanations for multivariate wind power forecasting
Wind is a popular renewable energy source, but it is highly dependent on environmental conditions and internal dynamics. Given these complexities, the need for accurate forecasting models that account for multiple variables is critical.
Ege Kandemir +4 more
doaj +1 more source
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
This work develops photocatalytic coatings for indoor formaldehyde removal on wood surfaces. It explores coating‐induced color variations and visual perception via eye‐tracking tests. Combined with XGBoost and Bayesian optimization, an intelligent design framework is established to guide the optimization of visually friendly wood photocatalytic ...
Xinyue Wei +8 more
wiley +1 more source
Climate-induced drought poses significant threats to agricultural productivity and farmer well-being, particularly in regions highly dependent on agriculture. This study investigates the impacts of climate variability and associated economic pressures on
Tehseen Javed +5 more
doaj +1 more source
SHAP values via sparse Fourier representation
Published in 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
Gorji, Ali +2 more
openaire +2 more sources
Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming
Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du +15 more
wiley +1 more source
Guided by a Random Forest model, a π–π‐driven ordered stacking strategy deploys functionally distinct substructures to restrict chain segment motion and increase free volume, while preserving the intermolecular interactions that maintain structural integrity.
Zi‐Meng Xu +10 more
wiley +1 more source

