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Developing and Testing Digital Twins for Vehicle Collision Prediction - A Machine Learning and Genetic Search Algorithm Approach - Master’s Thesis
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Machine learning, unsupervised learning and stain normalization in digital nephropathology - Master thesis 2023
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Use of Digital Image Correlation and Machine Learning for the Optimal Strain Placement in a Full Scale Composite Tidal Turbine Blade
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Numerical Simulation of the Korteweg–de Vries Equation with Machine Learning
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Machine learning approaches to forecasting cryptocurrency volatility - Considering internal and external determinants
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Predicting the Product Classification of Hot Rolled Steel Sheets Using Machine Learning Algorithms
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Opcodes to Images - A Framework for Early Detection of Ransomware by Utilising Machine Learning Techniques
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A Novel MCDM-Based Framework to Recommend Machine Learning Techniques for Diabetes Prediction
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A Machine Learning Specklegram Wavemeter (MaSWave) Based on a Short Section of Multimode Fiber as the Dispersive Element
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A machine learning approach to microwave sensing for non-invasive Alzheimer’s disease early detection - Conference paper
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Rapid inverse design of metamaterials based on prescribed mechanical behavior through machine learning - Nature Communications 14(1) - 2023
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Development of a Surrogate Model of an Amine Scrubbing Digital Twin Using Machine Learning Methods
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Enhancing personal comfort - A machine learning approach using physiological and environmental signals
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Vehicle-to-Everything (V2X) Datasets for Machine Learning-based Predictive Quality of Service
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超重三核素的核乳胶数据结合机器学习的超氚核束缚能精确测量
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