<b>Inappropriate application of mapping algorithms results in length-dependent gene abundances in metagenomic analysis</b> by Wenkai Teng (17150785)

Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... by Honglei Pang (22693724)

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Simulation Results Plot of the EMB System Response: (a) Step response curve of the EMB system; (b) Sine response curve of the EMB system; (c) Steady state error curve of the EMB sy... by Honglei Pang (22693724)

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HIL test results of low-adhesion road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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Braking performance and lateral stability on curved road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sidesli... by Honglei Pang (22693724)

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PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

“…<p>^<b>a</b>PATH⁺ shows comparable or better performance with less overfitting, as evidenced by a smaller slope, with much less increase in RMSEs beyond the training dataset, compared to established binding affinity prediction algorithms spanning a variety of methods. …”

PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

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Braking performance and lateral stability on low-adhesion road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle s... by Honglei Pang (22693724)

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Braking performance and lateral stability on split-μ road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sidesl... by Honglei Pang (22693724)

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Workflow of the mycelium characterization algorithm. by Guillermo Vidal-Diez de Ulzurrun (7609925)

Algorithm for generating virtual patients. by Adrianne L. Jenner (11133854)

“…<b>4)</b> Optimizing the objective function provides a parameter set for which the patient response to SARS-CoV-2 will be within the physiological ranges. …”

Graphical illustration of the JF algorithm. by Bernd Porr (32394)

Schematic view of the overall algorithm. by Betty Wutzl (6945248)

Posterior for parameter <i>θ</i> of the uniform toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

“…Results are averaged over 40 repeated runs. In (b), is shown the Hellinger distance from the prior to approximate posterior distribution, which is maximized directly within Algorithm 2. …”

Reconstruction performance across algorithms, dynamics, cell types, and recording length. by Christian Donner (3663007)

“…Dots depict the performance obtained on three different subnetworks of the same simulation. <b>E</b> Connectivity reconstruction performance (APS, MCC) as a function of recording time. …”

Optimal model generation algorithm. by Anton Sobinov (9854047)

“…<p><b>A</b>. Example of generating a single polynomial structure to approximate the length of <i>biceps brevis</i>, which only crosses a single DOF (wrist s-p) in the model. …”

Details of the comparison algorithm parameters. by Yan Wei (32168)

“…The experimental results show that bGEBA-SVM can obtain higher prediction Accuracy, which can reach 93.86%. …”

Genetic Algorithm (GA) and CAGE-based personalization block diagrams. by Dmitrii Smirnov (8822324)

“…<p>(<b>A</b>) Genetic algorithm schematic diagram. Initially a set of organisms is generated, each of which is determined by a random vector of scaling factors for optimized model parameters (step 1). …”

<b>（代码）</b><b>一种新的VMD优化策略ASSA-WFEE及其在滚动轴承故障诊断中的应用</b> by Xiaohan Xu (17426229)

“…<p dir="ltr">The code and data used to support the advancement of the ASSA algorithm and its rationality in the application of bearing fault diagnosis, in which ASSA stores the comparison test of the ASSA algorithm with WOA, GWO, PSO, HHO, SSA, MFO, based on the test function. …”