Results 41 to 50 of about 15,829,318 (284)

Algebraization Levels in the Study of Probability

Mathematics, 2021
The paper aims to analyze how the different degrees of mathematical formalization can be worked in the study of probability at non-university educational levels.
María Burgos, Carmen Batanero, Juan D. Godino   +2 more
doaj   +1 more source

microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan, Praveen Velammal, Kanmani Muthiah, Madhu Jatty, Christopher Adams   +4 more
wiley   +1 more source

Sparse Bayesian Broad Learning System for Probabilistic Estimation of Prediction

IEEE Access, 2020
Broad learning system (BLS) is proposed as a competitor to deep neural network, which is constructed using only single hidden layer instead of multilayered structure.
Lili Xu, C. L. Philip Chen, Ruizhi Han
doaj   +1 more source

A Decoupling Strategy for Reliability Analysis of Multidisciplinary System with Aleatory and Epistemic Uncertainties

Applied Sciences, 2021
In reliability-based multidisciplinary design optimization, both aleatory and epistemic uncertainties may exist in multidisciplinary systems simultaneously.
Chao Fu, Jihong Liu, Wenting Xu
doaj   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Finite predicate-driven logic networks method for enhanced education data analysis

Радіоелектронні і комп'ютерні системи
The subject matter of the study is intelligent data analysis in the field of academic information. The goal of the study is to create a mathematical model for analyzing students' academic information using the predicate-driven logic networks method ...
Zoia Dudar, Andrii Kozyriev
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

PROBABILISTIC BEHAVIORAL MODEL FOR COMPUTER NETWORK PROTECTION BASED ON ATTACK TREES [PDF]

Научно-технический вестник информационных технологий, механики и оптики, 2016
The paper deals with the results of probabilistic model development for behavioral computer network. We present a method for the system state simulation immediately after the attack.
N. A. Dorodnikov, S. A. Arustamov
doaj   +1 more source

PRISM: a tool for automatic verification of probabilistic systems [PDF]

, 2006
Probabilistic model checking is an automatic formal verification technique for analysing quantitative properties of systems which exhibit stochastic behaviour. PRISM is a probabilistic model checking tool which has already been successfully deployed in a
Marta Kwiatkowska, Kwiatkowska, M., Parker, D., David Parker, Parker, David, Kwiatkowska, Marta, Norman, G., Andrew Hinton, Norman, Gethin, Gethin Norman, Hinton, A., Hinton, A   +11 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source