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Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future

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An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction

An In-Depth Comparative Analysis of Machine Learning Techniques for Addressing Class Imbalance in Mental Health Prediction

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Machine Learning Empowered Agile Hardware Design and Design Automation

Machine Learning Empowered Agile Hardware Design and Design Automation

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Real-time machine-learning-driven control system of a deformable mirror for achieving aberration-free X-ray wavefronts

Real-time machine-learning-driven control system of a deformable mirror for achieving aberration-free X-ray wavefronts

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State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis

State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis

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Clustering Patients using Longitudinal Data - Master Thesis in ICT for Internet and Multimedia

Clustering Patients using Longitudinal Data - Master Thesis in ICT for Internet and Multimedia

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Assessing over Decadal Biomass Burning Influence on Particulate Matter Composition in Subequatorial Amazon - Literature Review, Remote Sensing, Chemical Speciation and Machine Learning Application

Assessing over Decadal Biomass Burning Influence on Particulate Matter Composition in Subequatorial Amazon - Literature Review, Remote Sensing, Chemical Speciation and Machine Learning Application

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Bullet Ricochet Mark Plan-View Morphology in Concrete - An Experimental Assessment of Five Bullet Types and Two Distances

Bullet Ricochet Mark Plan-View Morphology in Concrete - An Experimental Assessment of Five Bullet Types and Two Distances

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COVID‑Net Biochem - an explainability‑driven framework to building machine learning models for predicting survival and kidney injury of COVID‑19 patients from clinical and biochemistry data

COVID‑Net Biochem - an explainability‑driven framework to building machine learning models for predicting survival and kidney injury of COVID‑19 patients from clinical and biochemistry data

Enhancing Mental Health Awareness through Twitter Analysis - A Comparative Study of Machine Learning and Hybrid Deep Learning Techniques

Enhancing Mental Health Awareness through Twitter Analysis - A Comparative Study of Machine Learning and Hybrid Deep Learning Techniques

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Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics

Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics

The Detection of Brain Cancer Using Machine Learning - A Systematic Analysis of Methodology, Comparisons, Results and Challenges

The Detection of Brain Cancer Using Machine Learning - A Systematic Analysis of Methodology, Comparisons, Results and Challenges

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MEMPSEP III - A machine learning-oriented multivariate data set for forecasting the occurrence and properties of solar energetic particle events using a multivariate ensemble approach

MEMPSEP III - A machine learning-oriented multivariate data set for forecasting the occurrence and properties of solar energetic particle events using a multivariate ensemble approach

Added by Patrick

Classification of Chronic Kidney Disease based on health care records using machine learning with Support Vector Machine

Classification of Chronic Kidney Disease based on health care records using machine learning with Support Vector Machine

Classification of Histological Images of Thyroid Nodules - Using Deep Features and Machine Learning

Classification of Histological Images of Thyroid Nodules - Using Deep Features and Machine Learning