An improved multi-objective animated oat optimization algorithm for resource-constrained construction project organization design. [PDF]
Xue Q +5 more
europepmc +1 more source
On the Temporal Variability of Precipitation in Iraq: Arid‐Wet Years and Extreme Events
Daily and monthly precipitation data in Iraq display high seasonal to interdecadal variability, with arid and wet years that have very distinct seasonal cycles. Monthly rainfall is significantly correlated with the Indian Ocean Dipole. Extreme events are identified and classified as belonging to four different weather patterns, allowing to obtain daily
Ali Raheem Al‐Nassar +2 more
wiley +1 more source
Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]
Seck D +4 more
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
A Load-Balancing-Aware Learning Framework for Collaborative UAV-MEC Computation Offloading. [PDF]
Li H +7 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
Inference of marker genes of subtle cell state changes via iLR: iterative logistic regression. [PDF]
Liu Y +3 more
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
Parameterized shape optimization of a bi-leaflet heart valved conduit for pediatric applications. [PDF]
Luo C +7 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

