Functional enrichment analysis. by Junjie Su (368807)

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Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples. by Yuanchen Zhao (12905580)

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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm by Gelio Alves (51850)

“…To overcome this limitation, we implemented an expectation-maximization (EM) algorithm, along with a biological function database, within the MiCId workflow. …”

Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ by Sarun Horn (20899271)

“…This may include code samples, functions, algorithms, or exercises designed to guide readers in learning or applying programming concepts. …”

List of Abbreviations by Gursimran Singh (575288)

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Effect of “nonfunctional group” on function. by Yuanchen Zhao (12905580)

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NC statistics versus total clients over 50 runs per scenario using the MVO algorithm with various approaches. by Le Huu Binh (18340233)

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CEC2017 test function test results. by Tengfei Ma (597633)

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The block diagram of the ASO algorithm implementation for inverse modeling. by Ahmad Al-Talabi (21387479)

Types of training algorithms. by Caixia Yan (6647072)

Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20... by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Proposed algorithm. by Keenjhar Ayoob (22339616)

Machine learning analysis of 10 hub genes related to SCI was performed using eight algorithms applied to the dataset. by Tianbao Feng (21722233)

Flowchart for the Tabu Search Algorithm [43]. by Ferhat Yuna (21519851)

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The pseudocode for the NAFPSO algorithm. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”

PSO algorithm flowchart. by Huichao Guo (14515171)

“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”

Custom UNET-GRU architecture used in the training process with the encoder, decoder, filters, and activation functions. by Sai Balakavi (21728626)

Results on the comparison of evolutionary and greedy algorithms with exact solution. by Alexander Andreev (16822333)

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Algorithm comparison experiment on the RSOD dataset. by Pingping Yan (462509)

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