First-order lag averaging filtering algorithm. by Shaohua Fu (10573209)

“…The system improves the algorithm of the data collected by the sensor, and proposes an improved first-order lag average filtering algorithm. …”

Benchmark functions used and their details. by Wei Liu (20030)

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Comparison of results of different algorithms. by Zhibo Fu (19009854)

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Improved A* algorithm flowchart. by Peiying Li (797714)

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Subnetwork clusters of identified targets for TFDM against CIRI obtained using MCODE algorithm. by Xu Hu (23350)

Parameters of trained algorithms. by Swathi Anil (17382903)

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.…”

Genetic Algorithm parameter search. by Elishai Ezra-Tsur (11888717)

Distribution of total lung capacity (TLC) in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

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Specific information on the 7 benchmark functions. by M. A. JiMing (19207527)

Comparison of proposed model with other methods using same datasets. by Ahmed Bahaa (12887063)

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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 finit... by Hassan Mehboob (8960273)

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

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The flowchart for the MBHA algorithm. by Sinan Q. Salih (8877938)

“…The method formulated was subjected to testing using a set of nine widespread and popular benchmark test functions. …”

The Pseudocode of MBHA algorithm. by Sinan Q. Salih (8877938)

“…The method formulated was subjected to testing using a set of nine widespread and popular benchmark test functions. …”

Results of 7 benchmarking functions in 50 dimensions. by M. A. JiMing (19207527)

Results of 7 benchmarking functions in 30 dimensions. by M. A. JiMing (19207527)

Convergence curves of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022(dim = 30). by Qingwen Meng (156386)

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Efficient algorithms to discover alterations with complementary functional association in cancer by Rebecca Sarto Basso (6728921)

“…In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …”