Results 181 to 190 of about 114,074 (272)
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
Macromolecular Rapid Communications, EarlyView.The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Multi-frequency sparse Bayesian learning for robust matched field processing. [PDF]
J Acoust Soc Am, 2017 Gemba KL +3 more
europepmc +1 more source
Ion Activation Methods for Top‐Down Proteomics
Mass Spectrometry Reviews, EarlyView.ABSTRACT Mass spectrometry (MS) has emerged as a premier method used to characterize the sequences of proteins. Top‐down proteomics aims to capture the multiple sources of structural diversity reflected in proteins, such as those that arise from alternative RNA splicing events or the addition of post‐translational modifications. Tandem MS (i.e., MS/MS)
Jada N. Walker, Jennifer S. Brodbelt
wiley +1 more source
Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
Materials Genome Engineering Advances, EarlyView.ElementBERT extracts semantic embeddings of chemical elements from 1.29 million alloy‐related abstracts, providing robust descriptors that improve prediction accuracy by up to 23% across titanium, high‐entropy, and shape memory alloys, with demonstrated generalization on alloy compositions reported in 2025.
Yunze Jia +7 more
wiley +1 more source
Underdetermined Wideband DOA Estimation for Off-Grid Sources with Coprime Array Using Sparse Bayesian Learning. [PDF]
Sensors (Basel), 2018 Qin Y, Liu Y, Liu J, Yu Z.
europepmc +1 more source
Materials Genome Engineering Advances, EarlyView.An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang +6 more
wiley +1 more source
Compressed-Sensing Reconstruction Based on Block Sparse Bayesian Learning in Bearing-Condition Monitoring. [PDF]
Sensors (Basel), 2017 Sun J, Yu Y, Wen J.
europepmc +1 more source
Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch
Naval Research Logistics (NRL), EarlyView.ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley +1 more source
A Sparse Bayesian Learning Algorithm for Longitudinal Image Data. [PDF]
Med Image Comput Comput Assist Interv, 2015 Sabuncu MR.
europepmc +1 more source
Oikos, EarlyView.Most ecological models of species interactions require many parameters, making them expensive to fit to experimental or observational data. To reduce the number of parameters, species are often divided into groups a priori, for example on the basis of functional or phylogenetic similarity, and species within these groups are assumed to behave ...
Christopher R. P. Brown +1 more
wiley +1 more source