Results 171 to 180 of about 190,364 (297)
A memorized multi-objective Sinh-Cosh optimizer for solving multi-objective engineering design problems. [PDF]
El-Nagar D, Zeidan I, Issa M.
europepmc +1 more source
Non‐Stationary Dry‐Spell Hazard Probabilities for Spain
This study assesses long‐term changes in dry‐spell hazard probabilities across Spain (1961–2024) using a novel non‐stationary extreme value framework applied to daily precipitation records from a dense observational network. Results show that dry‐spell duration and associated return levels are dominantly stationary, with non‐stationary models providing
S. M. Vicente‐Serrano +13 more
wiley +1 more source
Machine Learning-Assisted Bio-Interfacial Engineering Resolves Structural-Functional Conflicts in Nanocomposites. [PDF]
Wang H +10 more
europepmc +1 more source
Abstract Patients admitted for inflammatory bowel disease (IBD) are often managed by rotating teams of care providers during their hospital stay. This can lead to potential variability in the care they receive. Our team developed a scoring system of six key high‐quality care components called the standardized IBD care index (SICI) to standardize care ...
Amir Jazayeri +4 more
wiley +1 more source
Multi-View Pareto Optimization for Minimal-Diagnostic-Set Identification of Disease Vectors. [PDF]
Lin N +7 more
europepmc +1 more source
Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
wiley +1 more source
Backbone agnostic Pareto evidential networks for trustworthy fault diagnosis and out of distribution detection. [PDF]
Shi J, Tang M, Tan L.
europepmc +1 more source
Application of Machine Learning in Heat Treatment Process Design of Carburized Steel
To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang +5 more
wiley +1 more source
Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface. [PDF]
Wang H +8 more
europepmc +1 more source
Integrating ML and multi‐objective optimization enabled efficient, accurate design of nanocarriers with optimized loading and encapsulation efficiencies. ABSTRACT Oxaliplatin (OXA), a critical third‐generation platinum chemotherapeutic, is significantly limited by suboptimal loading capacity and encapsulation efficiency in nanoparticle‐based delivery ...
Abbas Rahdar +3 more
wiley +1 more source

