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  1. 3441

    Deep Learning of Temperature – Dependent Stress – Strain Hardening Curves by Nikolić, Filip, Čanađija, Marko

    Published 2023-05-01
    “…Automated microstructure generation techniques and numerical simulations were developed to create a dataset for the ML model. Two – phase 3D representative volume elements (RVEs) were analyzed using finite element analysis (FEA) to obtain the stress – strain responses of the RVEs. …”
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  2. 3442

    Ensemble learning-based predictor for driver synonymous mutation with sequence representation. by Chuanmei Bi, Yong Shi, Junfeng Xia, Zhen Liang, Zhiqiang Wu, Kai Xu, Na Cheng

    Published 2025-01-01
    “…Compared to existing state-of-the-art methods, EPEL demonstrates superior performance on the independent test dataset. Furthermore, our analysis reveals a significant correlation between effect scores and patient outcomes across various cancer types. …”
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  3. 3443

    A Novel Recommendation Algorithm Integrates Resource Allocation and Resource Transfer in Weighted Bipartite Network by Qiang Sun, Leilei Shi, Lu Liu, Zixuan Han, Liang Jiang, Yan Wu, Yeling Zhao

    Published 2024-06-01
    “…Experiments are conducted on the MovieLens training dataset, and the experimental results show that the proposed algorithm outperforms classical collaborative filtering systems and network structure based recommendation systems in terms of recommendation accuracy and hit rate.…”
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  4. 3444

    Development of a Driving Cycle for Fuzhou Using K-Means and AMPSO by Minrui Zhao, Hongni Gao, Qi Han, Jiaang Ge, Wei Wang, Jue Qu

    Published 2021-01-01
    “…First, bad data in the original dataset are preprocessed, the time-series standard smoothing algorithm is used to smoothen the data, and Lagrange’s interpolation is used to realize data interpolation. …”
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  5. 3445

    A novel oversampling method based on Wasserstein CGAN for imbalanced classification by Hongfang Zhou, Heng Pan, Kangyun Zheng, Zongling Wu, Qingyu Xiang

    Published 2025-02-01
    “…Experimental results on multiple public datasets show that the proposed method achieves significant improvements in evaluation metrics such as Recall, F1_score, G-mean, and AUC.…”
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  13. 3453

    Strategic insights into penalty kick execution: A comprehensive analysis of observable behaviors in the German Bundesliga by Pascal Feber, Guilherme Pinheiro

    Published 2024-06-01
    “…This study aimed to investigate which observable variables would be able to predict the penalty taker strategy; and to identify the prevalence of the penalty taker strategy in successful penalty kicks. Dataset consists of 220 penalty kicks from the German Bundesliga (2019-2021). …”
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    Linking financial development and economic growth: do we have new evidence of the role of institutions in CFA countries? by Christelle Meniago, Brian Tavonga Mazorodze, Gisele Mah

    Published 2025-12-01
    “…Drawing from a diverse dataset covering 13 countries, this research utilizes the Fully Modified Ordinary Least Squares technique to analyze the data. …”
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  17. 3457

    Harmonization of the Long-term PM2.5 Carbon Data from the CSN Sites in New York State by Hesham Hassan, James Schwab, Jie Zhang

    Published 2023-08-01
    “…To address the above issue, field blanks are used to remove artifacts from samples, an outlier filter is applied to remove anomalies from the dataset, and a regression between retired samplers and the current sampler data is used to establish the harmonization between two co-located urban sites in this study. …”
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    Cooperative Identification of Prolonged Motor Movement From EEG for BCI Without Feedback by Alicia Falcon-Caro, Joao Filipe Ferreira, Saeid Sanei

    Published 2025-01-01
    “…The method has been validated using two different publicly available EEG datasets. An inter-subject average validation accuracy of 70% after performing a leave-one-subject-out k-fold cross-validation is obtained for the classification of the smallest dataset when ten sub-gestures are considered.…”
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