Results 191 to 200 of about 2,535,602 (380)
A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations
Advanced Intelligent Systems, EarlyView.A novel, semi‐automated deep learning and differential evolution pipeline designed for generating medicines for 3D‐printed medicines is introduced. This pipeline successfully generates a diverse range of drug formulations with an 80% printing success rate and 92% accuracy in predicting printing parameters.
Youssef Abdalla +8 more
wiley +1 more source
Asymptotic Optimality in Bayesian Changepoint Detection Problems under Global False Alarm Probability Constraint [PDF]
, 2009 Alexander G. Tartakovsky
openalex +1 more source
Do Bayesian imaging methods report trustworthy probabilities? [PDF]
arXivBayesian statistics is a cornerstone of imaging sciences, underpinning many and varied approaches from Markov random fields to score-based denoising diffusion models. In addition to powerful image estimation methods, the Bayesian paradigm also provides a framework for uncertainty quantification and for using image data as quantitative evidence.
arxiv
Exploring Skill Generalization with an Extra Robotic Arm for Motor Augmentation
Advanced Intelligent Systems, EarlyView.Extra robotic arms promise to augment human motor functions during multitasking. Herein, diaphragmatic‐controlled extra robotic arm (XRA) is investigated, demonstrating significant performance improvements—true functional augmentation—in trimanual tasks. However, limited generalization to tasks requiring fine motor skills is identified.
Daniel Leal Pinheiro +5 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding +5 more
wiley +1 more source
Angewandte Chemie, EarlyView.A Bayesian meta‐learning framework is proposed for reaction outcome prediction in low‐data settings. It utilizes a literature‐mined dataset on asymmetric hydrogenation of olefins to build a pre‐trained model. This meta‐model is shown to return better predictions as compared to single‐tasks methods, such as random forest and graph neural networks, given
Sukriti Singh +1 more
wiley +2 more sources
American Journal of Community Psychology, EarlyView.Abstract In the U.S., crime and violence are concentrated in cities that have lost industry and population due to economic disinvestment and structurally racist policies. Researchers, practitioners, and policymakers have called for community‐level approaches that reduce violence in these cities by improving unsafe physical environments, increasing ...
Laney A. Rupp +9 more
wiley +1 more source
Decomposition of multicomponent mass spectra using Bayesian probability theory
, 2002 H. Kang +3 more
openalex +2 more sources
A Bayesian approach to the probability of coronary heart disease subject to the −308 tumor necrosis factor-α SNP [PDF]
, 2011 Ekaterini Vourvouhaki, C. S. Carvalho
openalex +1 more source