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1. An Analysis and Framework for Multi-label Image Classification of Insect Taxonomy with Convolutional Neural Networks

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2. Machine Learning Approach for Prediction of Relative Permeability

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3. Digital Twin Enabled Facilities Maintenance Management through the Integration of Artificial Intelligence and Sensory-Level Data

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4. In-silico modeling gene expression utilizing genomic activity and 3D contact information

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5. Investigating Planet Formation Through Simulation, Observation, and Machine Learning

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6. Application of machine learning to optical sensing and imaging

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7. Identification of Rossby Wave Breaking Flavors using Self-Organizing Maps

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8. Quantifying the Spatiotemporal Inundation Patterns of Tundra Polygonal Ground and Its Relationship with Arctic Climate

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9. A Vision Towards Developing a Spatially And Temporally Robust Data-Driven Modeling Framework To Predict Continuous Stream Nitrate Concentration At Data-Scarce Locations

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10. Investigating the Impact of Language Experience on Second Language Reading Comprehension Using a Resting-State Connectome-based Predictive Model

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