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  1. 181

    Combining Feature Dimensionality Reduction and NGO-CNN-BiLSTM′s Network Abnormal Traffic Detection Method in Recruitment Intelligence Platform by YUAN Xiaopeng, MIAO Sirui, ZHANG Qiaojun

    Published 2025-04-01
    “…The CIC-IDS-2017 data set is used to analyze the training and test samples of the intrusion detection network model, and the accuracy and training time are improved compared with other methods, which confirms the feasibility and effectiveness of this method.…”
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  2. 182

    Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

    Published 2024-12-01
    “…Results show that OA2DD improves the convergence curve and reduces the number of selected features by up to 50 %, leading to a 56 % reduction in computational costs. Furthermore, using the selected features from OA2DD, reduced the prediction error by up to 29 % compared to the full feature set and other feature selection methods, demonstrating the method's effectiveness and robustness.…”
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    A Study on the Determination Method of the Gear Reduction Ratio for Electric Trains Considering Drive Shaft Relative Damage and Motor Efficiency by Soonhyun Kwon, Jongbok Jeong, Dongkyeom Kim, Wonsik Lim

    Published 2024-11-01
    “…This study presents a method for determining the optimal gear ratio in electric trains by examining the effects of motor efficiency, wheel wear, and relative damage to the input and output shafts of the reduction gear. …”
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  8. 188
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    Comparison of Liquefaction Damage Reduction Performance of Sheet Pile and Grouting Method Applicable to Existing Structures Using 1-G Shaking Table by Jong-Chan Yoon, Su-Won Son, Jin-Man Kim

    Published 2024-08-01
    “…This study forms a basis for developing a liquefaction-damage reduction method applicable to existing structures in the future.…”
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    3D Multi-Domain MFS Analysis of Sound Pressure Level Reduction Between Connected Enclosures by Luıs GODINHO, Fernando G. BRANCO, Paulo AMADO MENDES

    Published 2013-10-01
    “…Different boundary conditions are ascribed to the walls of these rooms, simulating both the completely reflecting and partially absorbing surfaces. The numerical modelling was performed using a multi-domain formulation of the Method of Fundamental Solutions (MFS). …”
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  12. 192
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    N-Dimensional Reduction Algorithm for Learning from Demonstration Path Planning by Juliana Manrique-Cordoba, Miguel Ángel de la Casa-Lillo, José María Sabater-Navarro

    Published 2025-03-01
    “…This paper presents an <i>n</i>-dimensional reduction algorithm for Learning from Demonstration (LfD) for robotic path planning, addressing the complexity of high-dimensional data. …”
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  14. 194
  15. 195

    Nutrition literacy and salt reduction measures: a mediating role of salt reduction intention by Xiaoting Hu, Yuhui Sun, Xi Tian, Huaqing Liu

    Published 2025-06-01
    “…A binary logistic regression model was applied to calculate the odds ratio (OR) and 95% confidence interval (CI) for this association.ResultsOverall, 50.7% of participants indicated implementing salt reduction measures, with 32.5% indicating a strong intention to do so. …”
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  16. 196

    Energy Pulsation Reduction in Modular Multilevel Converters Using Optimized Current Trajectories by Dennis Braeckle, Patrick Himmelmann, Lutz Groll, Veit Hagenmeyer, Marc Hiller

    Published 2021-01-01
    “…In the present paper, in order to minimize this total capacitance, first a new method is developed to model the system, and second, by help of this model, optimal current trajectories are calculated. …”
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    Enhanced Semantic Retrieval with Structured Prompt and Dimensionality Reduction for Big Data by Donghyeon Kim, Minki Park, Jungsun Lee, Inho Lee, Jeonghyeon Jin, Yunsick Sung

    Published 2025-07-01
    “…The framework transforms unstructured partial prompts into structured semantically coherent partial prompts, leveraging element-specific embedding models and dimensionality reduction techniques, such as principal component analysis. …”
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    A Multi-Point Moment Matching Approach with Frequency-Aware ROM-Based Criteria for RLCk Model Order Reduction by Dimitrios Garyfallou, Christos Giamouzis, Nestor Evmorfopoulos

    Published 2025-06-01
    “…Model order reduction (MOR) is crucial for efficiently simulating large-scale RLCk models extracted from modern integrated circuits. …”
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