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A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost
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Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients
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A review of the determinants and prediction methods for off-channel water demand
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Cost-Effective Autonomous Drone Navigation Using Reinforcement Learning: Simulation and Real-World Validation
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Unveiling farmers’ perceptions: a citizen science and machine learning approach to exploring drivers in the adequacy and fairness of water systems
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Survey of industrial Internet traffic analysis technology
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Improve the robustness of algorithm under adversarial environment by moving target defense
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Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis
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Microbial perspective of multidisciplinary collaborative weight management approach: Ruminococcus gnavus may serve as a key target for weight loss
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Artificial Intelligence Transforming Post-Translational Modification Research
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Malicious user detection in Momo application based on spatio-temporal behavior and static attribute analysis
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Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes
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Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design
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Effortless alkalinity analysis using AI and smartphone technology, no equipment needed, from freshwater to saltwater
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Addressing Missing Data in Slope Displacement Monitoring: Comparative Analysis of Advanced Imputation Methods
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