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3 days ago · This paper presents the thermal behavior of non-resonant (quasi-static) piezoelectric biaxial MEMS scanners with Bragg reflectors. These scanners were developed ...
6 days ago · Using a retrospective dataset of 823 hip radiographs from 150 subjects with proximal femur fractures and 362 negative controls, VarifocalNet attained 0.94 ...
3 days ago · Purpose. Contemporary stochastic optimal control by synergy of the probability density evolution method (PDEM) and conventional optimal controller exhibits ...
6 days ago · Existing approaches often have limitations, such as relying on parametric assumptions, detecting only linear associations, and requiring multiple tests and ...
16 hours ago · Algorithm 2 Inference in Bayesian nonparametric PPCA using Gibbs sampling. Input: Y, Θ, MaxIter, K. Initialise: Sample a random ... resonance imaging (fMRI) is a ...
Missing: Stochastic | Show results with:Stochastic
AI-based model for automatic identification of multiple sclerosis ...
www.nature.com › ... › articles
6 days ago · This paper aims to develop an AI model using an improved sea-horse optimizer (SHO) algorithm to differentiate between MS and healthy MRI-scanned brains, thereby ...
3 days ago · The paper addresses a joint sequential change-point detection and identification/isolation problem for a general stochastic model, assuming that the observed ...
11 hours ago · Deep transfer learning for improving single-EEG arousal detection Olesen, A., Jennum, P., Mignot, E., Sorensen, H. D., IEEE IEEE. 2020: 99–103. View details ...
5 days ago · We propose to construct, using conformal prediction, an interval in the task- output space that is guaranteed to contain the true task output up to a user-.
Enhancing liver fibrosis diagnosis and treatment assessment - IOPscience
iopscience.iop.org › article
3 days ago · Enhancing liver fibrosis diagnosis and treatment assessment: a novel biomechanical markers-based machine learning approach, Zhuo Chang, Chen-Hao Peng, ...