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Turning Hazardous Volatile Matter Compounds into Fuel by Catalytic Steam Reforming - An Evolutionary Machine Learning Approach
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A Computability Perspective on (Verified) Machine Learning
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Topological data analysis and machine learning
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Beyond Convergence - Identifiability of Machine Learning and Deep Learning Models
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Probabilistic selection and design of concrete using machine learning
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Mapping the Patent Landscape of Medical Machine Learning
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Automatic determination of the Atterberg limits with machine learning
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Deep Learning Applications in Structure-Based Drug Discovery - Doctoral Thesis
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Heart Disease Prediction Using Machine Learning Method
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Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning - Perspective Review
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Machine Learning Based Automatic Leaf Diseases Detection
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Machine learning for advanced characterisation of silicon solar cells - Thesis
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Optimization of Machine Learning Algorithms with Bagging and AdaBoost Methods for Stroke Disease Prediction
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Machine Learning Accelerated Discovery of Corrosion-resistant High-entropy Alloys - Research
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