A robust method for bridge safety risk assessment using improved multi-state fuzzy Bayesian network. [PDF]
Cao Z, He W, Chen K, Rao R, Chen Z.
europepmc +1 more source
Primary School Teachers’ Didactic-Mathematical Knowledge When Teaching Probability: development and validation of an evaluation instrument [PDF]
Claudia Vásquez, ́Àngel Alsina
openalex
Mathematics and physics of consistency of the Born rule with normal probability distribution
Alexey A. Kryukov
openalex +1 more source
Abstract The transition from subsistence to market‐oriented agriculture holds the potential to boost rural economic progress and improve the well‐being of the rural poor in developing countries. Despite this potential, there is limited understanding of the key drivers for smallholder commercialization. In this study, we utilize comprehensive three‐wave
Abebayehu Girma Geffersa+1 more
wiley +1 more source
Modeling the Dynamics of Dengue Transmission with Awareness and Optimal Control Analysis. [PDF]
Herdicho FF+6 more
europepmc +1 more source
Machine Learning for Organic Fluorescent Materials
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong+7 more
wiley +1 more source
Generalized Robust Optimization using the Notion of Set-Valued Probability. [PDF]
Torre D, Mendivil F, Rocca M.
europepmc +1 more source
GED‐CRN: A Machine Learning Framework for Predicting Electron Density Distributions from Molecular Geometries via a Cube‐Sampling Approach. ABSTRACT We present GED‐CRN, a 3D convolutional residual network that achieves quantum‐chemical accuracy (MAE =7.6×10−4$= 7.6 \times 10^{-4}$ bohr−3${\rm bohr}^{-3}$) in predicting electron densities for AIE‐active
Junyi Gong+4 more
wiley +1 more source
Modeling coronary heart disease risk based on age, fatty food consumption and anxiety factors using penalized spline nonparametric logistic regression. [PDF]
Chamidah N+6 more
europepmc +1 more source
Network Applications of Bloom Filters: A Survey
A. Broder, M. Mitzenmacher
semanticscholar +1 more source