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Predicting graduation grades using Machine Learning: A case study of Can Tho University students
Published 2023-10-01Get full text
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Implementation Of Triple Exponential Smoothing Method To Predict Palm Oil Production Of PT.Lonsum Web-Based
Published 2025-05-01Get full text
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Random forest-based frame work for multi-distress prediction in CRCP: a feature importance approach
Published 2025-08-01Get full text
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EventFormer: a hierarchical neural point process framework for spatio-temporal clustering events prediction
Published 2025-07-01Get full text
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Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM.
Published 2025-01-01Get full text
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Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method
Published 2025-04-01“…Accurate cost predictions are essential for project feasibility, and this research highlights the strength of ensemble methods in improving prediction accuracy by combining the advantages of multiple models, offering a significant improvement over traditional approaches. …”
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Predicting Architectural Space Preferences Using EEG-Based Emotion Analysis: A CNN-LSTM Approach
Published 2025-04-01Get full text
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Research on Predicting Super-Relational Data Links for Mine Hoists Within Hyper-Relational Knowledge Graphs
Published 2024-12-01Get full text
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