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    Study on College English Online Teaching Model in Mixed Context Based on Genetic Algorithm and Neural Network Algorithm by Xiaoxia Ma

    Published 2021-01-01
    “…In recent years, the rise and development of wisdom education not only provides a more convenient and efficient modern education form but also brings new ideas for classroom teaching evaluation. …”
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  3. 1703

    Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value in clinical practice by Jie Zhou

    Published 2025-03-01
    “…For selecting the most relevant features, we utilized the Minimum Redundancy Maximum Relevance (mRMR) and Recursive Feature Elimination (RFE) algorithms. Following this, we developed and assessed Support Vector Machine (SVM) and Logistic Regression (LR) models, measuring their performance through various metrics such as accuracy, specificity, sensitivity, positive predictive value, calibration curves, the Hosmer–Lemeshow goodness-of-fit test, decision curve analysis (DCA), and Kaplan–Meier survival analysis. …”
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  4. 1704
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    Comparative study on RF-BP model prediction of mining water-conducting fracture zone height in Binchang Coal Mine by Yadong JI, Xuan LIU, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

    Published 2025-07-01
    “…Back propagation neural network, genetic algorithm and particle swarm optimization were used to optimize BP neural network and random forest algorithm to carry out regression fitting for the interpolated data. …”
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  6. 1706
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    Metaheuristic Prediction Models for Kerf Deviation in Nd-YAG Laser Cutting of AlZnMgCu1.5 Alloy by Arulvalavan Tamilarasan, Devaraj Rajamani

    Published 2025-02-01
    “…A detailed investigation was conducted to examine the effects of various parameters on kerf deviation. The metaheuristic algorithms (i.e., Giant Trevally Optimizer—GTO; and Zebra Optimization Algorithm—ZOA) were implemented to determine the optimum process parameters for producing the best performance measures. …”
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  9. 1709

    Gaining transparency in Uber’s algorithmic management by Jessica Pidoux, Sofia Kypraiou, Paul-Olivier Dehaye

    Published 2025-06-01
    “…Nevertheless, this dependence and the resulting economic losses and gains are passed on to drivers individually as “algorithmic predictability risk”. Indeed, drivers’ data are controlled by Uber to make automated predictions of supply and demand for the benefit of the platform exclusively.…”
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  10. 1710

    Computational complexity, algorithmic scope, and evolution by Leonhard Sidl, Maximilian Faissner, Manuel Uhlir, Cristian A Velandia-Huerto, Maria Waldl, Hua-Ting Yao, Ivo L Hofacker, Peter F Stadler

    Published 2025-01-01
    “…We use RNA secondary structure prediction as a simple surrogate for developmental programs to demonstrate that the salient features of the genotype–phenotype map remain intact even if ‘simpler’ algorithms are employed that correctly compute the structures only for small subsets of instances, albeit quantitative differences depending on the choice of alternative algorithms can be observed.…”
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  11. 1711

    Molecular Beacon Sequence Design Algorithm by W. Todd Monroe, Frederick R. Haselton

    Published 2003-01-01
    “…This analysis is carried out using mfold structural predictions along with other free Web-based tools. For smaller laboratories where molecular beacons are not the focus of research, the public domain algorithm described here may be usefully employed to aid in molecular beacon design.…”
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  12. 1712

    Ideology Critique in the Age of Algorithmic Governance by Christian Filk

    Published 2025-06-01
    “…He combines rigorous analysis with transformative practices like algorithmic deconstruction and commons-based production, transcending conventional digital literacy approaches. …”
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  13. 1713

    Algorithm profiling for architectures with dataflow accelerators by Nenad Korolija, Veljko Milutinović, Borko Furht

    Published 2025-07-01
    “…As a result, it is not always obvious whether programming dataflow architectures for certain algorithms is worth the effort needed. Therefore, there is a need for a programmer to be able to predict the outcome of programming for dataflow architectures in terms of accelerating program execution and power savings. …”
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  14. 1714

    National standards of pharmaceutical education in the context of reforming legislation of higher education by І. M. Alieksieieva

    Published 2018-03-01
    “…Equally, this also affected the standards of higher education. This issue in the Act is reserved Section III: Standards of educational activity and higher education, where the terminological concept and the general algorithm for the formation of the standard of higher education is precisely fixed. …”
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    Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

    Published 2025-03-01
    “…This study proposes a hybrid network of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA) to predict the higher heating value (HHV) of municipal solid waste (MSW). …”
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