Category: 7. Maths

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  • A novel encrypted traffic detection model based on detachable convolutional GCN-LSTM

    A novel encrypted traffic detection model based on detachable convolutional GCN-LSTM

    Experimental environment and parameter setting

    Experimental environment

    The experiments were conducted using Python 3.8 with PyTorch as the neural network framework32, implemented in the PyCharm IDE. The details of the computer hardware platform…

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  • Lightweight underwater object detection method based on multi-scale edge information selection

    Lightweight underwater object detection method based on multi-scale edge information selection

    Data augmentation

    Under underwater conditions, the limitations in both the quantity and quality of data often impact the model’s performance and generalization ability. Therefore, data augmentation methods are necessary to mitigate the effects…

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  • A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management

    A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management

    Study protocol

    This study is part of the GATEKEEPER strategy for the Multinational Large-Scale Piloting of an eHealth Platform23. The data were collected in the frame of the Central Greece High Complexity Phase I pilot study: a non-interventional,…

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  • Nonlinear behavior of dispersive solitary wave solutions for the propagation of shock waves in the nonlinear coupled system of equations

    Nonlinear behavior of dispersive solitary wave solutions for the propagation of shock waves in the nonlinear coupled system of equations

    The wave transformation for Eq.(1), consider as

    $$\begin{aligned} U ( x, t )= W( \varsigma ), \quad V ( x, t )= Q( \varsigma ), \quad \quad \varsigma = x + \mu t. \end{aligned}$$

    (17)

    Substitute Eq.(17) into…

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  • Method for extracting ship shaft rate features by fusing acoustic and magnetic field

    Method for extracting ship shaft rate features by fusing acoustic and magnetic field

    Simultaneous acquisition of shaft frequency information from both acoustic and magnetic fields enhances the identification and assessment of the target. This is because acoustic and magnetic signals reflect the characteristics of the ship target…

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  • Sampling zero stability in sampled data control systems with delays using backward triangle sample and hold

    Sampling zero stability in sampled data control systems with delays using backward triangle sample and hold

    In this part of the section, we introduce a novel polynomial that emerges during the discretization process of time-delay systems utilizing the BTSH method. This polynomial, denoted as \({B_{B,r}}(z,f,\Delta )\), plays a central role in…

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