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

“…</p><p dir="ltr">[3] Anytime Algorithms for Many-affine BBOB Functions <a href="https://markdownlivepreview.com/#cite_ref-3" target="_blank">https://iohprofiler.github.io/competitions/mabbob24</a>.…”

Source code for DDQR compression rate calculation using simulated data. by Yujun Wang (1947196)

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Source code for DDQR compression rate calculation using real data. by Yujun Wang (1947196)

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Flux prediction using artificial neural network (ANN) for the upper part of glycolysis - Fig 3 by Anamya Ajjolli Nagaraja (6681032)

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, 6, 9. 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. …”

The comparison of results before and after using the preprocessing method is presented, including the distribution functions of the average prediction error in 10 runs under three... by Xiaorui Wu (8322705)

The results of each test function. by Yuhang Wang (332111)

RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10. by Jin Ding (11522)

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Source code for DDQR and GeCo3 compression rate calculation. by Yujun Wang (1947196)

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GA and loss function (Loss_L) parameters are optimized using their search spaces through the hyperparameter tuning. by Burcu Ozek (16949357)

Evaluation of the optimization algorithm using mock microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

“…<p>A: Evolution of fraction community distribution concerning the cycles of adaptation enforced by the gradient descendant algorithm using a value of <i>α</i> = 0.125 and a mock microbiome composition; B: Comparison of pie charts for the mock reference biomass percentage distributions (left) and the obtained with the modeling strategy based on the gradient descent algorithm (right). …”

Evaluation of the optimization algorithm using clinical microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

“…<p>A: Evolution of biomass fraction distribution for the cycles of adaptation enforced by the gradient descendant algorithm using a value of <i>α</i> = 0.125 and a microbiome composition from Mexican patients published by [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0290082#pone.0290082.ref020" target="_blank">20</a>]; B: Comparison of pie charts for the clinical reference biomass percentage distributions (left) and the obtained with the modeling strategy based on the gradient descent algorithm (right); C: Performance functional (<i>J</i>) evolution using clinical data from healthy Mexican patients for the simulation.…”

Network structure of perception fusion algorithm. by Weilin Wu (13736)

“…To evaluate the performance of the proposed algorithm in multi-task processing, the BDD100K dataset is used. …”

GA[ESM,pMPNN,AF2Rank] algorithm flowchart. by Lu Hong (399882)

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The top 10 genes in the PPI network were calculated using five algorithms. by Fengjun Zhang (5878169)

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Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

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Functions and classification of computer data mining technology. by Huijun Chen (148680)

Modeling Molecularly Imprinted Nanoparticles with LNKD: A Resource Efficient Algorithm for Polymer Cross-Linking by Emma Stevens (22257358)

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Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF by Minhua Guo (18392646)

Top-ranked hub genes identified by 5 cytoHubba algorithms. by Jun Li (6494)