Results 261 to 270 of about 2,810,332 (372)
Bayesian estimation of covariate assisted principal regression for brain functional connectivity. [PDF]
Park HG.
europepmc +1 more source
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Bayesian Estimation of Propensity Scores for Integrating Multiple Cohorts with High-Dimensional Covariates. [PDF]
Guha S, Li Y.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Bayesian estimation of muscle mechanisms and therapeutic targets using variational autoencoders. [PDF]
Tune T +4 more
europepmc +1 more source
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
Bayesian estimation of the prevalence of antimicrobial resistance: a mathematical modelling study. [PDF]
Howard A +7 more
europepmc +1 more source
Sparse Bayesian Learning Based Off-Grid Estimation of OTFS Channels with Doppler Squint [PDF]
Xuehan Wang, Xu Shi, Jintao Wang
openalex +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source

