Category: 7. Maths

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  • An efficient coverage path planning method for UAV in complex concave regions

    An efficient coverage path planning method for UAV in complex concave regions

    In this section, we examined how to decompose polygons based on concave points. This process tackles two main issues: (1) identifying which points are concave in the polygon, and (2) traversing the decomposed polygons to ensure full area…

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  • Watson transform in quantum scattering

    Watson transform in quantum scattering

    It should be stressed that in actual quantum interactions we have \(k_0a\gg 1\); as a result, the number of required canonical terms N to evaluate both the series in (1) is much larger than these indicated in Figs. 1b,c. Therefore, the direct…

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  • Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection

    Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection

    In this section, the method of collecting the necessary data for the research and the characteristics of this data are described. Then, the steps of the proposed method for predicting the academic performance of students in higher education are…

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  • Reducing annotation burden in physical activity research using vision language models

    Reducing annotation burden in physical activity research using vision language models

  • Wasfy, M. M. & Lee, I.-M. Examining the dose–response relationship between physical activity and health outcomes. NEJM Evid. 1(12), EVIDra2200190 (2022).

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  • Research topic detection in scientific articles using a hybrid BERT integrated telescopic vector tree model with emperor penguin enhanced NSGA II optimization

    Research topic detection in scientific articles using a hybrid BERT integrated telescopic vector tree model with emperor penguin enhanced NSGA II optimization

    This paper proposes a Research Topic Detection System (RTDS) that finds popular research topics within a specific field of study. This suggested system identifies study subjects and popular keywords that aspiring researchers can utilize as search…

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  • A deep learning runoff prediction model based on wavelet decomposition and dynamic feature fusion

    A deep learning runoff prediction model based on wavelet decomposition and dynamic feature fusion

    Benchmark experimental results

    To fully demonstrate that the BWDformer model can achieve effective and outstanding performance in the field of runoff prediction, this study compared it with several typical models, including CNN, LSTM, Transformer,…

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  • Modeling macroscopic brain dynamics with brain-inspired computing architecture

    Modeling macroscopic brain dynamics with brain-inspired computing architecture

    Dynamic mean-field model

    In this work, we use the DMF model proposed in prior work21 to simulate the brain dynamics. It describes the dynamics of the network containing excitatory and inhibitory populations of spiking neurons interconnected via…

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  • BirdNeRF: fast neural reconstruction of large-scale scenes from aerial imagery

    BirdNeRF: fast neural reconstruction of large-scale scenes from aerial imagery

    Representing and reconstructing large-scale scenes, such as those found in aerial imagery, presents significant challenges due to the inherent scalability limitations of training a single NeRF. To address these issues, we propose BirdNeRF, a…

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  • Dromion solutions for system of ion sound and Langmuir waves using truncated Painlevé approach

    Dromion solutions for system of ion sound and Langmuir waves using truncated Painlevé approach

    Assume the Ion Sound Langmuir system44 which is of the form,

    $$\begin{aligned} {\left\{ \begin{array}{ll} \iota U_{t} + \frac{1}{2}U_{ss}-ZU = 0,\\ Z_{tt}-Z_{ss}-2(|U|^{2})_{ss}=0. \end{array}\right. } \end{aligned}$$

    (2.1)

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