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Human Clustering Based on Graph Embedding and Space Functions of Trajectory Stay Points on Campus
Published 2025-03-01“…The graph embedding algorithm is used to calculate feature vector representations of nodes in the network, which can capture complex relationships among nodes through biased random walks. …”
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The Influence of Domestic Players on the Success in National and International Competitions in Football
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Reinforcement learning-based assimilation of the WOFOST crop model
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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach
Published 2024-08-01“…To isolate and quantify the crack region, this research combines image thresholding, morphological operations, and contour detection with the convex hulls method and forms a novel algorithm. …”
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Hierarchical Embedded System Based on FPGA for Classification of Respiratory Diseases
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Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China
Published 2022-01-01“…The main purpose of this research is to apply the logistic regression (LR) model, the support vector machine (SVM) model based on radial basis function, the random forest (RF) model, and the coupled model of the whale optimization algorithm (WOA) and genetic algorithm (GA) with RF, to make landslide susceptibility mapping for the Ankang City of Shaanxi Province, China. …”
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Impact of Sanctions on Industry Indices
Published 2024-12-01“…All data were obtained for the period from 01.01.2014 to 31.12.2023. The research methodology is based on mathematical modeling using the BERTopic topic modeling algorithm. …”
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Application Analysis of Credit Scoring of Financial Institutions Based on Machine Learning Model
Published 2021-01-01“…Personal credit evaluation based on big data is one of the hot research topics. This paper mainly completes three works. …”
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Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict indi...
Published 2025-08-01“…This study employed local interpretable model-agnostic explanations (LIME) and SHapley Additive exPlanations (SHAP) to demystify the endotype prediction model. A random forest model was built to assess an individual's risk for nephropathy and retinopathy based on individual risk algorithms.…”
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Data Mining Classification Techniques for Diabetes Prediction
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