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    A study on monthly sales forecasting of new energy vehicles in urban areas using the WOA-BiGRU model. by Xiangtu Li

    Published 2025-01-01
    “…Its prediction results are compared with those of the particle swarm optimization (PSO) algorithm. …”
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    Article
  3. 12163

    Enhanced flux potential analysis links changes in enzyme expression to metabolic flux by Xuhang Li, Albertha J M Walhout, L Safak Yilmaz

    Published 2025-02-01
    “…Abstract Algorithms that constrain metabolic network models with enzyme levels to predict metabolic activity assume that changes in enzyme levels are indicative of flux variations. …”
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    Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

    Published 2024-10-01
    “…Machine Learning models with Naive Bayes Classifier algorithms are often used to predict MBTI personalities from Twitter data. …”
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    Fatigue Damage Prognosis Method for Main Girders of Cable-Stayed Bridges Based on Wavelet Neural Network by Shan Huang, Rui Chen, Jun Ling, Nan Jin

    Published 2025-06-01
    “…This method integrates WNN with multi-scale finite element modeling to predict fatigue damage progression. First, the theoretical foundation and implementation algorithms of the WNN are elaborated on and applied to forecast the future load environments of cable-stayed bridges. …”
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  17. 12177

    A Complex Network of MicroRNAs Expressed in Brain and Genes Associated with Amyotrophic Lateral Sclerosis by Santosh Shinde, Neelima Arora, Utpal Bhadra

    Published 2013-01-01
    “…Similar search was conducted using TargetScan and PicTar for prediction of target sites in 3′ UTR only. 1456 target sites were predicted using miRanda and more target sites were found in 5′ UTR and CDS region as compared to 3′ UTR. 11 target sites were predicted to be common by all the algorithms and, thus, these represent the most significant sites. …”
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  18. 12178

    An Evaluation of Mine Water Inrush Based on Data Expansion and Machine Learning by Ye Zhang, Shoufeng Tang

    Published 2025-04-01
    “…Additionally, it performs well in the coal mine floor water inrush dataset, increasing the water inrush prediction algorithm’s accuracy.…”
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  19. 12179

    Complexity reduction method for High Efficiency Video Coding encoding based on scene-change detection and image texture information by Hong-rae Lee, Eun-bin Ahn, A-young Kim, Kwang-deok Seo

    Published 2019-12-01
    “…The reference pictures are typically signaled in two independent lists according to the display order, to be used for forward and backward prediction. If an event occurs in the input video, such as a scene change, the inter prediction performs unnecessary computations. …”
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    Improving Balanced Accuracy for Minority Plant Species under Data Imbalance by Ruben Gonzalez-Villanueva, Jose Carranza-Rojas

    Published 2024-09-01
    “…Regardless of the widely known success of deep learning in classification, such models are commonly measured by metrics that do not account for data imbalance, especially in terms of predictions per class, ignoring minority classes. This can be a problem, as minority classes are often the most difficult to predict and collect data for. …”
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