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Interpretable domain knowledge enhanced machine learning framework on axial capacity prediction of circular CFST columns - Abstract & framework
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NASH - Neural Architecture Search for Hardware-Optimized Machine Learning Models
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Training Machine Learning models at the Edge - A Survey - Edge learning training methods overview
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Severity classification of Finnish motorcycle accidents with machine learning methods - Master’s thesis
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Forecasting Inflation in Norway Using Machine Learning - Master’s Thesis 2024
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Inferring the Assembly and Merger Histories of Galaxies - with the IllustrisTNG Simulations and Machine Learning
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Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
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Predicting Success of Pilot Training Candidates Using Interpretable Machine Learning - Thesis
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Machine Learning Classifications of Multiple Organ Failures in a Malaysian Intensive Care Unit - Article
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Machine Learning for Soil Classification - Challenges and Opportunities
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Hybrid Machine Learning Algorithms for Solving Forward and Inverse Problems in Physical Sciences - Dissertation
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Effective Detection of Breast Pathology Using Machine Learning Methods - Abstract
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Embedded Machine Learning-Based Road Conditions and Driving Behavior Monitoring
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Prediction of Student Performance at Polytechnic Using Machine Learning Approach - Regression Model Comparison
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