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    Data sources and preprocessing procedures. by Yuan Han (1267323)

    Published 2025
    “…An integrated Cubist regression tree model is developed using ecological environment data from the QTP and multi-source environmental monitoring data from 2019 to 2023. …”
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    Data sources and preprocessing procedures. by Yuan Han (1267323)

    Published 2025
    “…An integrated Cubist regression tree model is developed using ecological environment data from the QTP and multi-source environmental monitoring data from 2019 to 2023. …”
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    Data preprocessing. by Yuhao Gong (4788654)

    Published 2025
    “…However, traditional educational data mining methods struggle to effectively integrate heterogeneous feature data and represent complex learning interaction processes, while existing deep learning models lack educational theory guidance, resulting in insufficient interpretability. …”
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    Overview of the ligand data preprocessing. by Ubair Aziz (21485738)

    Published 2025
    “…In 2<sup>nd</sup> step, the active compounds from the selected study (Pubchem ID: 630) were extracted. This data was then preprocessed as 3<sup>rd</sup> step by i) removing possible artifacts reported in the experiment ii) compounds with no Compound ID removed iii) small fragment with molecular weight below 200 removed iv) racemic compounds removed v) only structures with dimeric symmetry retained. …”
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    Graphical summary of the GloSAT dataset creation process by John Kennedy (4479223)

    Published 2025
    “…For marine data homogenization involves corrections for measurement height and daytime heating biases. (3) data preprocessing, which involves the quality control of the data and averaging on to a regular grid. (4) Filling gaps in the data using a statistical model. …”
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    Diagram of the CRFS preprocessing process. by Bo Yu (241082)

    Published 2025
    “…Subsequently, a preprocessing method called CRFS (combined ranking using random forest scores and principal component analysis contributions) was introduced for feature selection. …”
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    Flowchart of data extraction and preprocessing. by Fenglian Pan (21246895)

    Published 2025
    “…The prediction performance was assessed by the U.S. state-wise Medicaid reimbursement claims data. Compared with commonly used prediction models, the proposed model achieved the lowest Mean Absolute Errors and Mean Absolute Percentage Errors on 30-, 60-, 90, 120-, 150-, and 180-day-ahead predictions. …”
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    Preprocessed CPSC and PTB-XL Data by Vanessa Borst (18269425)

    Published 2024
    “…We preprocessed the dataset by resampling the ECG signals to 250 Hz and equalizing the ECG signal length to 60 seconds, <br>yielding a signal length of T=15,000 data points per recording.For the hyperparameter study, we employed a fixed train-valid-test split with ratio 60-20-20, while for the final evaluations, including the comparison with the state-of-the-art methods and ablation studies, we used a 10-fold cross-validation strategy.…”
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