Vehicle crash simulation models for reinforcement learning driven crash-detection algorithm calibration

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FusionNet - SQL-Fusion-Based Deep Learning Model for SQL Injection Detection

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Deep learning model for enhanced power loss prediction in the frequency domain for magnetic materials

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IoT-driven anomaly detection in smart grids using multimodal deep learning models

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An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

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The Impact of the FLEX Blended Learning Model on Developing EFL Students’ Critical Reading Skills

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Optimal subsampling for high-dimensional partially linear models via machine learning methods

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Resisting the machine: modeling emotional friction and academic decline in enforced AI learning environments

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An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

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Optimal subsampling for high-dimensional partially linear models via machine learning methods

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Modeling Sentiment Spread in Reddit's Financial Communities Through Epidemiological and Deep Learning Approaches

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An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

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Optimal subsampling for high-dimensional partially linear models via machine learning methods

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Analysis of Slag Conditioners for Foam Control by Coupling Thermodynamic Calculations and Machine Learning Models

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An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models

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Optimal subsampling for high-dimensional partially linear models via machine learning methods

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Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models

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A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

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A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability

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Cross-individual generalizability of machine learning models for ball speed prediction in baseball pitching

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