Results 1 to 10 of about 221,604 (165)
STOCHASTIC METHODS IN RISK ANALYSIS [PDF]
Transactions of the VŠB: Technical University of Ostrava, Safety Engineering Series, 2017 In this paper, we review basic stochastic methods which can be used to extend state-of-the-art deterministic analytical methods for risk analysis.
Vladimíra OSADSKÁ
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Optimal Maintenance Policy for a Technical System Subject to Hidden Faults and Randomly Occurring Hazards [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 The paper presents a method of finding the optimal time between inspections for a system subject to degradation-related faults which make the system vulnerable to randomly occurring external hazards that may cause its damage.
Jacek Malinowski
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Challenges of integrated variance estimation in emerging stock markets [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 Estimating integrated variance, using high frequency data, requires modelling experience and data crunching skills. Although intraday returns have attracted much attention in recent years, handling these data is challenging because of their ...
Josip Arnerić, Mario Matković
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Archives of Public Health, 2022 Background The role played by large-scale repetitive SARS-CoV-2 screening programs within university populations interacting continuously with an urban environment, is unknown.
Vincent Denoël +14 more
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Bound the Parameters of Neural Networks Using Particle Swarm Optimization
Computers, 2023 Artificial neural networks are machine learning models widely used in many sciences as well as in practical applications. The basic element of these models is a vector of parameters; the values of these parameters should be estimated using some ...
Ioannis G. Tsoulos +3 more
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A Stochastic Approximation Method [PDF]
The Annals of Mathematical Statistics, 1951 Let M(x) denote the expected value at level x of the response to a certain experiment. M(x) is assumed to be a monotone function of x but is unknown to the experimenter, and it is desired to find the solution x = θ of the equation M(x) = α, where a is a given constant.
Robbins, Herbert, Monro, Sutton
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A Review of Tracking and Trajectory Prediction Methods for Autonomous Driving
Mathematics, 2021 This paper provides a literature review of some of the most important concepts, techniques, and methodologies used within autonomous car systems.
Florin Leon, Marius Gavrilescu
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Toward an Ideal Particle Swarm Optimizer for Multidimensional Functions
Information, 2022 The Particle Swarm Optimization (PSO) method is a global optimization technique based on the gradual evolution of a population of solutions called particles. The method evolves the particles based on both the best position of each of them in the past and
Vasileios Charilogis, Ioannis G. Tsoulos
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A Feature Construction Method That Combines Particle Swarm Optimization and Grammatical Evolution
Applied Sciences, 2023 The problem of data classification or data fitting is widely applicable in a multitude of scientific areas, and for this reason, a number of machine learning models have been developed. However, in many cases, these models present problems of overfitting
Ioannis G. Tsoulos, Alexandros Tzallas
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Biomass Hydrothermal Carbonization: Markov-Chain Monte Carlo Data Analysis and Modeling
Frontiers in Chemical Engineering, 2021 This paper introduces Bayesian statistical methods for studying the kinetics of biomass hydrothermal carbonization. Two simple, specially developed computer programs implement Markov-chain Monte Carlo methods to illustrate these techniques' potential ...
Alberto Gallifuoco +2 more
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