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Using Generative Adversarial Networks to Translate Microresistivity Image Logs of Carbonates Into Synthetic Core Images With Accurate Dunham Textures
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Using Generative Adversarial Networks to Translate Microresistivity Image Logs of Carbonates Into Synthetic Core Images With Accurate Dunham Textures

Added by Ophelia
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MACHINE LEARNING MODELS (MLP, RANDOM FOREST, LIGHTGBM) - FOR DAILY ET₀ ESTIMATION WITH LIMITED DATA IN HUMID MEDITERRANEAN REGION (JIJEL), ALGERIA
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MACHINE LEARNING MODELS (MLP, RANDOM FOREST, LIGHTGBM) - FOR DAILY ET₀ ESTIMATION WITH LIMITED DATA IN HUMID MEDITERRANEAN REGION (JIJEL), ALGERIA

Added by Ophelia
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DETECTION AND IDENTIFICATION OF CYBERATTACKS IN CPS - BY APPLYING MACHINE LEARNING ALGORITHMS
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DETECTION AND IDENTIFICATION OF CYBERATTACKS IN CPS - BY APPLYING MACHINE LEARNING ALGORITHMS

Added by Ophelia
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Machine learning for retrosynthesis and synthesisable molecule generation in drug discovery - Doctor of Philosophy thesis
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Machine learning for retrosynthesis and synthesisable molecule generation in drug discovery - Doctor of Philosophy thesis

Added by Ophelia
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Leveraging Machine Learning Tools to Develop Objective, Interpretable, and Accessible Assessments of Postural Instability in Parkinson’s Disease - Dissertation
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Leveraging Machine Learning Tools to Develop Objective, Interpretable, and Accessible Assessments of Postural Instability in Parkinson’s Disease - Dissertation

Added by Ophelia
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Optimization of Various Machine Learning Concepts to Evaluate Landslide Susceptibility - XGBoost, k-NN and MLP using PSO Algorithm
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Optimization of Various Machine Learning Concepts to Evaluate Landslide Susceptibility - XGBoost, k-NN and MLP using PSO Algorithm

Added by Ophelia
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On Learning, Fairness, and Complexity - Thesis
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On Learning, Fairness, and Complexity - Thesis

Added by Ophelia
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fNIRS-based early identification of mild cognitive impairment - a large-scale multi-paradigm study with ensemble machine learning models
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fNIRS-based early identification of mild cognitive impairment - a large-scale multi-paradigm study with ensemble machine learning models

Added by Ophelia
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Applying machine learning to process mining data - Master’s thesis
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Applying machine learning to process mining data - Master’s thesis

Added by Ophelia
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Machine-Learning-Enabled Optimization and Online Monitoring for Efficient and High-Quality Smart Drying - Dissertation
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Machine-Learning-Enabled Optimization and Online Monitoring for Efficient and High-Quality Smart Drying - Dissertation

Added by Ophelia
16
Assessment of Airport Pavement Condition Index (PCI) Using Machine Learning
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Assessment of Airport Pavement Condition Index (PCI) Using Machine Learning

Added by Ophelia
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Modelling seizure-related predictors of epilepsy diagnostic gap in two urban informal settlements of Nairobi using machine learning
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Modelling seizure-related predictors of epilepsy diagnostic gap in two urban informal settlements of Nairobi using machine learning

Added by Ophelia
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Acoustic Machine Learning Tools and Analysis Software for Advancing Biodiversity Monitoring - Ph.D. Thesis
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Acoustic Machine Learning Tools and Analysis Software for Advancing Biodiversity Monitoring - Ph.D. Thesis

Added by Ophelia
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Statistical and machine learning approaches to describe factors affecting preweaning mortality of piglets
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Statistical and machine learning approaches to describe factors affecting preweaning mortality of piglets

Added by Ophelia
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Estimating Exoplanet Mass Using Machine Learning on Incomplete Datasets
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Estimating Exoplanet Mass Using Machine Learning on Incomplete Datasets

Added by Valentina
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