Results 41 to 50 of about 14,047 (249)

Discontinuous modelling of strain localisation and failure [PDF]

open access: yes, 2001
The computational simulation of failure in solids poses many challenges. A proper understanding of how structures respond under loading, both before and past the peak load, is important for safe and economical constructions.
Wells, G.N., Wells, G.N. (author)
core   +3 more sources

Equivalence and Discretisation in Bio-PEPA [PDF]

open access: yes, 2009
Bio-PEPA is a process algebra for modelling biological systems. An important aspect of Bio-PEPA is the ability it provides to discretise concentrations resulting in a smaller, more manageable state space. The discretisation is based on a step size which determines the size of each discrete level and also the maximum number of levels.
Vashti Galpin, Jane Hillston
openaire   +1 more source

On Modelling and State Estimation of DC Motors

open access: yesActuators
Direct current motors are widely used in a plethora of applications, ranging from industrial to modern electric (and intelligent) vehicle applications.
Erik Arévalo   +4 more
doaj   +1 more source

Hybrid successive discretisation algorithm used to calculate parameters of the photovoltaic cells and panels for existing datasets

open access: yesIET Renewable Power Generation, 2021
This paper presents a new hybrid successive discretisation algorithm, used to calculate the parameters of the photovoltaic cells and panels, by the one diode model and the two diode model.
Daniel T. Cotfas   +2 more
doaj   +1 more source

Time-domain iron loss estimation using the parametric magneto dynamic model: Discretisation sensitivity and a skin-depth-based heuristic [PDF]

open access: yesSerbian Journal of Electrical Engineering
This paper utilizes the Parametric Magneto-Dynamic (PMD) model, enhanced with an inverse hysteresis formulation, to estimate iron losses in the time domain under arbitrary excitation waveforms.
Hörmann Timo   +4 more
doaj   +1 more source

A mixed finite element discretisation of linear and nonlinear multivariate splines using the Laplacian penalty based on biorthogonal systems

open access: yesMethodsX, 2023
We consider a mixed finite element method for a linear multivariate spline using the Laplacian penalty. Our discretisation is based on biorthogonal systems leading to a very simple and efficient finite element scheme.
Bishnu P. Lamichhane
doaj   +1 more source

Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small‐Data Scenarios

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Accurate prediction of bioprocess scale‐up is critical for accelerating the deployment of novel and sustainable biomanufacturing systems. However, this remains challenging as multi‐scale data is expensive to generate and mechanistic understanding is often incomplete, leading upscaling decisions to rely heavily on empirical expertise. This work
Harvey Al‐Ramadhan   +3 more
wiley   +1 more source

Taming Discretised PDDL+ through Multiple Discretisations

open access: yesProceedings of the International Conference on Automated Planning and Scheduling
The PDDL+ formalism allows the use of planning techniques in applications that require the ability to perform hybrid discrete-continuous reasoning. PDDL+ problems are notoriously challenging to tackle, and to reason upon them a well-established approach is discretisation.
Matteo Cardellini   +4 more
openaire   +2 more sources

Explorations on Improving Interpretability of Decision Making Processes of Rule-Based Classifiers

open access: yesAlgorithms
Rule-based classifiers are often preferred over other types of learners due to the transparent mode in which decisions are made. Each decision rule includes in its premise conditions on attributes. When they are satisfied, the conclusion part of the rule
Urszula Stańczyk
doaj   +1 more source

A discrete homotopy perturbation method for non-linear Schrodinger equation [PDF]

open access: yesComputational Ecology and Software, 2015
A general analysis is made by homotopy perturbation method while taking the advantages of the initial guess, appearance of the embedding parameter, different choices of the linear operator to the approximated solution to the non-linear Schrodinger ...
H. A. Wahab   +2 more
doaj  

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