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Category: 7. Maths

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  • AI network-related research and education at Yonsei University

    Authors and Affiliations

    1. School of Integrated Technology, College of Computing, Yonsei University, Seoul, South Korea

      Chan-Byoung Chae & JeongGil Ko

    2. School of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul,…

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  • Exploration of nonclassical symmetries and exact solutions to the (4+1)-dimensional Boiti–Leon–Manna–Pempinelli equation

    Exploration of nonclassical symmetries and exact solutions to the (4+1)-dimensional Boiti–Leon–Manna–Pempinelli equation

    This part provides a detailed discussion of the conditionally invariant solutions associated with the nonclassical generator derived in the preceding analysis. Here, the unidentified functions are systematically classified, and the corresponding…

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  • LLM ethics benchmark: a three-dimensional assessment system for evaluating moral reasoning in large language models

    LLM ethics benchmark: a three-dimensional assessment system for evaluating moral reasoning in large language models

    Our thorough analysis indicates considerable differences in the moral reasoning abilities of the evaluated LLM systems11. Table 1 illustrates the overall performance across our three main assessment criteria.

    The findings reveal that leading…

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  • Automated assessment and detection of third molar and inferior alveolar nerve relations using UNet and transfer learning models

    Automated assessment and detection of third molar and inferior alveolar nerve relations using UNet and transfer learning models

  • Szalma, J., Lempel, E., Jeges, S., Szabó, G. & Olasz, L. The prognostic value of panoramic radiography of inferior alveolar nerve damage after mandibular third molar removal: Retrospective study of 400 cases. Oral Surgery, Oral Medicine, Oral…

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  • Network attack knowledge inference with graph convolutional networks and convolutional 2D KG embeddings

    Network attack knowledge inference with graph convolutional networks and convolutional 2D KG embeddings

    To validate the effectiveness of the KGConvE model in APT attack scenarios, this section introduces the experimental environment configuration, evaluation metrics, and experimental datasets. Parameter experiments are conducted to find the optimal…

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  • Explainability and importance estimate of time series classifier via embedded neural network

    Explainability and importance estimate of time series classifier via embedded neural network

    Verifying Importance via Ground Truth

    When it comes to verification of feature importance, the availability of ground truth makes the verification process trivial. However the ground truth is not always readily available, especially in real world…

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  • GENEOnet: a breakthrough in protein binding pocket detection using group equivariant non-expansive operators

    GENEOnet: a breakthrough in protein binding pocket detection using group equivariant non-expansive operators

    This section introduces the mathematical model that we use to identify pockets. We also explain how the model was trained together with the datasets used for training, model selection and testing.

    Data sources

    During the training, validation, and…

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  • Hierarchical attention enhanced deep learning achieves high precision motor imagery classification in brain computer interfaces

    Hierarchical attention enhanced deep learning achieves high precision motor imagery classification in brain computer interfaces

    Data acquisition and experimental paradigm

    Participants and ethical considerations

    The experimental protocol was designed in accordance with the Declaration of Helsinki and approved by the institutional review board43,44. A total of \(N = 15\)…

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  • Interpretable machine learning-guided plasma catalysis for hydrogen production

    Interpretable machine learning-guided plasma catalysis for hydrogen production

  • Global CO2 Emissions from Transport by Sub-sector in the Net Zero Scenario, 2000–2030 (International Energy Agency, 2022); https://www.iea.org/data-and-statistics

  • Anika, O. C. et al. Prospects of low and zero-carbon renewable fuels in 1.5-degree…

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