A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. by Hassan Mehboob (8960273)

“…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…”

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Scores of the officially ranked methods on the test set for the clinical outcome identification task. by Matthew A. Reyna (16965038)

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Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of . by Paul Kinsler (3975620)

Membership function of input and output variables (a) heading deviation (b) preview distance (c) steering wheel angle change. by Guo Ming (14559696)

Membership functions of input and output variables (a) velocity deviation (b) acceleration deviation (c) brake pedal stroke change. by Guo Ming (14559696)

Examples of the ground truth images. by Haoyuan Yang (8630391)

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Results of comparisons with Fig 19. by Haoyuan Yang (8630391)

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The processing results of different denoising algorithms on waterfall images: (a) is the original image, (b) [22], (c) [21], (d) [23], (e) [24], (f) [25], (g) [7], (h) [ by Wuyi Li (2984439)

Motion blur with <i>L</i> = 18 and <i>Φ</i> = 30° for the “caps.bmp” image. by Haoyuan Yang (8630391)

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Atmospheric turbulence blur with <i>σ</i> = 3.2 for the “plane.bmp” image. by Haoyuan Yang (8630391)

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Defocus blur with <i>r</i> = 4 for the “monarch.bmp” image. by Haoyuan Yang (8630391)

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Motion blur with <i>L</i> = 16 and <i>Φ</i> = 45° for the “lighthouse2.bmp” image. by Haoyuan Yang (8630391)

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Identification and functional analysis of hub genes. by Wei Ya Lan (22403712)

“…<p>(A) Protein–protein interaction (PPI) network constructed using the STRING database with a confidence score > 0.04. (B) PPI network visualized using Cytoscape software. …”

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…Inertia was calculated using the scikit learn module in Python. B) Resulting cluster distance from hierarchical clustering to averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

The performance comparison of the base (CNN+BiLSTM+MHSA) model with different algorithms for solving the problem of imbalanced data classification on the test set. by Wenhui Yan (825510)

An example of the algorithm of the ORFanID engine is explained in a UML flow chart diagram. by Richard S. Gunasekera (6752072)

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(a) ROAL Accuracies and (b) ROAL label requests per episode for the 1^st, 2^nd, 5^th, and 10^th instances of all classes. by Honglan Huang (341951)

Box plot of the algorithms based on 12 benchmark functions. by Chuang Zhang (2199421)

“…<p>Box plot of the algorithms based on 12 benchmark functions.</p>…”

Convergence behavior of the algorithms based on 12 benchmark functions. by Chuang Zhang (2199421)

“…<p>Convergence behavior of the algorithms based on 12 benchmark functions.</p>…”