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INTEGRATIVE APPROACHES TO UNDERSTANDING AND IDENTIFYING LACTUCA SPECIES - PHYLOGENETICS, MORPHOLOGY, AND MACHINE LEARNING - Applications at a Genebank Level
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Predicting Parkinson’s Disease Progression - Analyzing Prodromal Stages Through Machine Learning
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Comparative analysis of machine learning models for smart irrigation systems
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Resolving the body-order paradox of machine learning interatomic potentials - Research article
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Machine-learning correction for the calorimeter saturation of cosmic-ray ions with the Dark Matter Particle Explorer - Towards the PeV scale
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The Role of Machine Learning in Predictive Business Management - Research Study
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Masonry Buildings Reconstruction Cost Post-Earthquake Analysis with Machine Learning - ECCOMAS Proceedia COMPDYN 2025
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Ethnicity, subjective wellbeing, and cardiovascular disease - Insights from path and machine learning analyses using data from the UK Biobank
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Improving Concrete Mix Design Predictions with Machine Learning Algorithms
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Achieving Machine Learning Dependability Through Model Switching and Compression
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Machine learning-based mortality prediction models for emergency department patients - a comparative analysis
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KmPred: prediction of Michaelis constants (Km) using an integrative machine learning framework
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Predicting rice yield and impact of climate change on rice production using machine learning models - Research
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Advancing Spatiotemporal Renewable Energies and Air Quality Forecasting with Deep Learning and Quantum Machine Learning - Thesis
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