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    On Internet Traffic Classification: A Two-Phased Machine Learning Approach by Taimur Bakhshi, Bogdan Ghita

    Published 2016-01-01
    “…The classifier specificity factor which accounted for differentiating content specific from supplementary flows ranged between 98.37% and 99.57%. Furthermore, the computational performance and accuracy of the proposed methodology in comparison with similar machine learning techniques lead us to recommend its extension to other applications in achieving highly granular real-time traffic classification.…”
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  6. 386

    Research on TCN Model Based on SSARF Feature Selection in the Field of Human Behavior Recognition by Wei Zhang, Guibo Yu, Shijie Deng

    Published 2024-01-01
    “…The model is based on the TCN classification model and incorporates a random forest with the sparrow optimization algorithm to perform dimensionality reduction on the original features, which is used to remove poorly correlated and unimportant features and retain effective features with a certain contribution rate to generate the optimal feature subset. In order to verify the reliability of the method, the performance of the model was evaluated on two public datasets, UCI Human Activity Recognition and WISDM, respectively, and 98.54% and 97.83% recognition accuracies were obtained, which were improved by 0.47% and 1.04% compared to the prefeature selection, but the number of features was reduced by 84.31% and 32.50% compared to the original feature set. …”
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  7. 387

    Implementation of the Human-Like Lane Changing Driver Model Based on Bi-LSTM by Junyu Cai, Haobin Jiang, Junyan Wang

    Published 2022-01-01
    “…The test results demonstrate that the Bi-LSTM-based human-like lane-changing driving model achieves 9.8% RMSE and 6.8% MAE, which improves 10.8% RMSE and 10.3% MAE over LSTM. …”
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    Impact of irrelevant speech and non-speech sounds on serial recall of verbal and spatial items in children and adults by Larissa Leist, Thomas Lachmann, Maria Klatte

    Published 2025-01-01
    “…Some of these assume specific interference between obligatory sound processing and phonological or serial order representations generated during task performance, whereas other posit that background sounds involuntarily divert attention away from the focal task. …”
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    Combination Estimation of Smoothing Spline and Fourier Series in Nonparametric Regression by Ni Putu Ayu Mirah Mariati, I. Nyoman Budiantara, Vita Ratnasari

    Published 2020-01-01
    “…The simulation results showed that the mixed estimators gave a minimum (GCV) value of 11.98. From the minimum GCV results, it was obtained that the mean square error (MSE) was 0.71 and R2 was 99.48%. …”
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