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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models
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Advances in machine learning applications to resource technology for organic solid waste
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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy
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What is the near-natural catchment? An application of hydrological signatures assessment
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier
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Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC
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Optimizing Energy and Spectral Efficiency in Mobile Networks: A Comprehensive Energy Sustainability Framework for Network Operators
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Simultaneous prediction of 10m and 100m wind speeds using a model inspired by brain emotional learning
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Prediction of growth and feed efficiency in mink using machine learning algorithms
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Construction and validation of a prognostic model for NK/T-cell lymphoma based on random survival forest algorithm
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Exploring cement Production's role in GDP using explainable AI and sustainability analysis in Nepal
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Appraising the Pile Settlement Rates by Support Vector Regression Optimized Using the Novel Optimization Algorithms
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Dual feature-based and example-based explanation methods
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Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8
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240
A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction
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