Fast Nonlinear Finite Element Elastodynamics Integrated withMolecular Dynamics for Multiscale Modeling by Matthew Deutsch (21077477)

“…<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. …”

Development, Calibration, and Validation of a Head–Neck Complex of THOR Mod Kit Finite Element Model by Jacob B. Putnam (598109)

“…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. …”

An example of the non local coiling that is preserved via the SKMT algorithm. by Arron Bale (17458357)

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Multidimensional Hydrodynamic Framework for Modeling Compound Inundation in Coastal Watersheds by Logan Bayer (17936513)

“…A wetting and drying algorithm is implemented for improved efficiency in the model. …”

Univariate linear regression models to investigate associations between entropy, beneficial and conserved elements responses and % inhibition (dependent variable). by Gemma Hancock (696744)

The 3D parametric CAD model used in the simulations. by Jenson Jacob (17468087)

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Description of the population, intervention, comparison, and outcome elements. by Nayansi Jha (4264165)

Original song waveform transformed into a magnitude-only auditory spectrogram, then transformed back into a waveform using an iterative phase-estimation algorithm. by Ludovic Bellier (188942)

Fitting the IF model using a genetic algorithm. by Trystan Leng (4229680)

“…<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>. …”

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…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. …”

Results of the olden algorithm: Importance level of factors. by Amila Jayasinghe (14573493)

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Bioinformatic Prediction and High Throughput In Vivo Screening to Identify Cis-Regulatory Elements for the Development of Algal Synthetic Promoters by Y. Torres-Tiji (19066403)

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Bioinformatic Prediction and High Throughput In Vivo Screening to Identify Cis-Regulatory Elements for the Development of Algal Synthetic Promoters by Y. Torres-Tiji (19066403)

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Algorithms used in this study. by Daniel Sanchez-Gomez (19065975)

“…Our results showed that decisión-tres based classifiers outperformed other classification logics given the discriminative importance of some chemical elements in determining the mineral phase, which fits particularly well with the decision-making process of this type of model. …”

The actual change detection efficiency of algorithms. by Yingying Liu (360782)

Confusion matrix analysis for different algorithms. by Yingying Liu (360782)

Simulation model and experimental setup. by Maryam Arianpouya (12299222)

Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…On the basis of stable egg carrying, a carrying motion mathematical model is established, and the genetic algorithm (GA) is chosen to optimize the structural parameters. …”

The workflow of the developed modelling and Machine Learning (ML) architectural structure. by Jenson Jacob (17468087)

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Description of the network model. by Younes Bouhadjar (12902755)

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