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.…”

Experiment 2D and 5D: Progressive Sample Scaling Algorithm To Solve Many-Affine BBOB Functions. by Boris Almonacid (4110337)

“…For this specific experiment<a href="https://markdownlivepreview.com/#cite_note-2" target="_blank">^[2]</a><a href="https://markdownlivepreview.com/#cite_note-3" target="_blank">^[3]</a>, the average AOCC is calculated.</p><p dir="ltr"><b>Objectives</b></p><ul><li>Solve Many-Affine BBOB Functions using a Deterministic Algorithm.…”

Reward function related parameters. by Honglei Pang (22693724)

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Trajectory comparison for system 3: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 1: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 2: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

Effect of noise on dimensionality estimates. by Ege Altan (11768156)

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Amount of data required by dimensionality estimators. by Ege Altan (11768156)

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Effect of increasing true dimensionality on dimensionality estimates. by Ege Altan (11768156)

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Dimensionality of noise free datasets. by Ege Altan (11768156)

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Dimensionality of noise free datasets with unequal variance. by Ege Altan (11768156)

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The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3,... by Quynh-Anh Nguyen (847240)

“…Lower panel: The signal detection algorithm constructs neurometric functions using numerical data from all <i>N</i>_<i>in</i> neuronal units. …”

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

“…The hydrogel location, size, shape, and composition are specified, after which an automated script is run, and the output is a chamber with photopatterned hydrogels of different sizes, shapes, and compositions. <b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …”

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)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

The processing results of different denoising algorithms on bench images: (a) is the original image, (b) [22], (c) [21], (d) [23], (e) [24], (f) [25], (g) [7], (h) [26 by Wuyi Li (2984439)

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

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”