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

"…To address this issue, most metaproteomics tools rely on the lowest common ancestor (LCA) algorithm to assign biological functions, which often leads to incomplete biological function assignments across the full taxonomic lineage of identified microorganisms. …"

Test functions. حسب Kejia Liu (5699651)

"…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …"

Image of the ReLU function. حسب Mengqi Yuan (4852555)

Symbolic regression flow diagram. حسب Mengze Zhang (19422095)

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

"…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

-value on 23 benchmark functions (dim = 30). حسب Yuqi Xiong (12343771)

"…Experimental validation shows that on 23 benchmark functions and the CEC2022 test suite, MESBOA significantly outperforms the original Secretary Bird Optimization Algorithm (SBOA) and other comparative algorithms (such as GWO, WOA, PSO, etc.) in terms of convergence speed, solution accuracy, and stability. …"

FFD parametric method modeling flow chart. حسب Yesong Wang (331723)

PSO parameters and objective function. حسب André G. Coimbra (21354135)

GA parameters and objective function. حسب André G. Coimbra (21354135)

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

New building interior space layout model flow. حسب Ling Zhao (111365)

NRPStransformer, an Accurate Adenylation Domain Specificity Prediction Algorithm for Genome Mining of Nonribosomal Peptides حسب Zhihan Zhang (1403308)

"…The efficacy of our prediction tool was validated through targeted genome mining, which led to the discovery of novel antimicrobial peptides. …"

State Function-Based Correction: A Simple and Efficient Free-Energy Correction Algorithm for Large-Scale Relative Binding Free-Energy Calculations حسب Runduo Liu (10756379)

"…We present an efficient and straightforward State Function-based Correction (SFC) algorithm, which leverages the state function property of free energy without requiring cycle identification. …"

<b></b>Magnetic Kernels: A Theoretical and Algorithmic Framework for the P vs NP Problem حسب DURGHAM QARALLEH (21904172)

S and V shaped transfer functions. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Siou loss function calculation diagram. حسب Weiyu Han (3448742)

Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty حسب Arnaud Liehrmann (10970682)

"…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …"

Workflow of the BOMS algorithm. حسب Ocima Kamboj (21533199)