Search alternatives:
modeling algorithm » mining algorithm (Expand Search), sampling algorithm (Expand Search), processing algorithm (Expand Search)
boosting algorithm » cosine algorithm (Expand Search), clustering algorithm (Expand Search), processing algorithm (Expand Search)
matching algorithm » mining algorithm (Expand Search), sampling algorithm (Expand Search), tracking algorithm (Expand Search)
modeling algorithm » mining algorithm (Expand Search), sampling algorithm (Expand Search), processing algorithm (Expand Search)
boosting algorithm » cosine algorithm (Expand Search), clustering algorithm (Expand Search), processing algorithm (Expand Search)
matching algorithm » mining algorithm (Expand Search), sampling algorithm (Expand Search), tracking algorithm (Expand Search)
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FindPrimaryPairs: An efficient algorithm for predicting element-transferring reactant/product pairs in metabolic networks
Published 2018“…However, such information is not readily available and is often challenging to obtain for large reaction databases or genome-scale metabolic models. In this study, a new algorithm was developed for automatically predicting the element-transferring reactant/product pairs using the limited information available in the standard representation of metabolic networks. …”
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Data_Sheet_1_Utilizing the Heterogeneity of Clinical Data for Model Refinement and Rule Discovery Through the Application of Genetic Algorithms to Calibrate a High-Dimensional Agen...
Published 2021“…Herein we propose a machine learning approach that utilizes genetic algorithms (GAs) to calibrate and refine an agent-based model (ABM) of acute systemic inflammation, with a focus on accounting for the heterogeneity seen in a clinical data set, thereby avoiding overfitting and increasing the robustness and potential generalizability of the underlying simulation model.…”
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SMCis: An Effective Algorithm for Discovery of Cis-Regulatory Modules
Published 2016“…We propose a probabilistic modeling algorithm called SMCis, which builds a more powerful CRM discovery model based on a hidden semi-Markov model. …”
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Fast Nonlinear Finite Element Elastodynamics Integrated withMolecular Dynamics for Multiscale Modeling
Published 2025“…<p dir="ltr">We present a GPU-enabled non-linear finite element method (FEM) elastodynamics algorithm, integrated with the HOOMD-blue open source molecular dynamics package, to enable multiscale modeling. …”
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Development, Calibration, and Validation of a Head–Neck Complex of THOR Mod Kit Finite Element Model
Published 2015“…The first objective of this study was to update the THOR head–neck finite element (FE) model to the specifications of the latest dummy modifications. …”
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An example of the non local coiling that is preserved via the SKMT algorithm.
Published 2023Subjects: -
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Multidimensional Hydrodynamic Framework for Modeling Compound Inundation in Coastal Watersheds
Published 2024“…A wetting and drying algorithm is implemented for improved efficiency in the model. …”
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Flowchart of the proposed GSS algorithm.
Published 2024“…The proposed setup includes three key elements: a PV system emulator employing back converter control to replicate PV panel characteristics, a boost converter with an MPPT algorithm for efficient power tracking across diverse conditions, and a motor pump (MP) emulator integrating an induction motor connected to a DC generator to simulate water pump behaviors. …”
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Fitting the IF model using a genetic algorithm.
Published 2017“…<p>A genetic algorithm was used to find values for five parameters of the IF model that give an optimal fit to the reference data of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0180368#pone.0180368.g001" target="_blank">Fig 1</a>. …”
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Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”