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BAYESIAN NEURAL NETWORK RAINFALL MODELLING: A CASE STUDY IN EAST JAVA
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Predicting traffic congestion based on time series analysis
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EMI Reduction in Grid-Connected Converters Using the Nonlinear Behavior of Multi-Layer Ceramic Capacitors
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Toward Intelligent Fading Channel Prediction: A Comprehensive Survey
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Guided Regularizers for Structured Reduction of Neural Networks
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Machine learning for predicting distant metastasis in nasopharyngeal carcinoma patients
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Integrating Radiomics and Lesion Mapping for Cerebellar Mutism Syndrome Prediction
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Risk prediction and analysis of gallbladder polyps with deep neural network
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Prediction of Thermal and Optical Properties of Oxyfluoride Glasses Based on Interpretable Machine Learning
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AutoML for calorific value prediction using a large database from the coal gasification practices in China
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Analysis and prediction of the incidence temporal trends of echinococcosis in China from 2010 to 2021
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A Methodology for Predicting the Stability Trend of Ground Collapse Under the Water Flow
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Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births
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