Results 51 to 60 of about 76,793 (306)

Modeling epidemics: A primer and Numerus Model Builder implementation

open access: yesEpidemics, 2018
Epidemiological models are dominated by compartmental models, of which SIR formulations are the most commonly used. These formulations can be continuous or discrete (in either the state-variable values or time), deterministic or stochastic, or spatially ...
Wayne M. Getz   +4 more
doaj   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

open access: yesAdvanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares   +3 more
wiley   +1 more source

SIMULATION AS PART OF INDUSTRIAL PRACTICE [PDF]

open access: yesActa Logistica, 2015
Article discusses the simulation as an efficient scientific method of problem solving in industrial practice. It creates an overview of the simulation program means used in industrial practice and creates an overview of tools for discrete, continuous ...
Miriam Pekarčíková   +2 more
doaj  

Consensus Continuous-Discrete Gaussian Filtering Using Fully Symmetric Interpolatory Quadrature

open access: yesIEEE Access, 2020
Consensus-based estimators have been applied in the state estimation for cooperative multi-sensor systems, and most of current studies are for the continuous-time or discrete-time case.
Jiawei Li   +3 more
doaj   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

The Discrete Power Half-Normal Distribution

open access: yesStatistica, 2023
The discrete power half-normal distribution is introduced, as the discretization of the power halfnormal distribution, based on the difference of values of the continuous survival function.
Andrea Pallini
doaj   +1 more source

Programming combined discrete-continuous simulation models for performance [PDF]

open access: yesProceedings of the 28th conference on Winter simulation - WSC '96, 1996
Continuous state variables in combined discrete-continuous simulation models (combined models) commonly represent physical quantities, such as fluid levels or temperatures, that are governed by physical laws, and these laws are expressed as differential equations of state.
openaire   +1 more source

3-D FEM analysis of the effects of SPT head dimensions on recording in discrete and continuous media

open access: yes, 2005
Due to the considerable increase of magnetic recording density, the deviation of the head from the centerline of the track becomes a serious problem for the cross-track interference.
Takahashi, N.   +2 more
core   +1 more source

Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley   +1 more source

Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning

open access: yesSensors, 2021
Recent research works on intelligent traffic signal control (TSC) have been mainly focused on leveraging deep reinforcement learning (DRL) due to its proven capability and performance. DRL-based traffic signal control frameworks belong to either discrete
Salah Bouktif   +2 more
doaj   +1 more source

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