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An Automated Design Tool for Sensor and Actuator Integration in Mechatronic Systems
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Evaluation of Machine Learning Methods on Large-Scale Spatio-temporal Data for Photovoltaic Power Prediction
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LEVERAGING MULTI-TASK LEARNING GRAPH NEURAL NETWORKS FOR IMPROVING FRAUD DETECTION
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The Calkin-Wilf Tree: Theme and Variations
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Predicting MXene Properties via Machine Learning
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Impact of Immersed Conductive Objects and Relative Influence of Immersion Depth on Quasi-Steady Burning Behavior of Dodecane Fuel Slick on Turbulent Waters
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Characterization of Sewage Sludge Hydrochar for Use as a Heavy Metal Adsorbent
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A Level-Set Approach for Solving Nonlinear Integer Optimization Problems
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Accelerating Software Development Through Integrated Domain-Driven Program Synthesis
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Making Concentric Tube Robots More Accessible: An Open-Source Platform with Easy-to-Source Components and Guided Learning Materials
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