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Composite Index Construction in Performance Evaluation: A Network DEA Approach
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Improving Ceramic Additive Manufacturing via Machine Learning-Enabled Closed-Loop Control
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Development of Adaptive Granular Crystals Immersed in Active Fluids for Impact Mitigation
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Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
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Non-Submodular Combinatorial Optimization in Control Systems: Efficient Algorithms with Provable Bounds
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A Coarse-Grained Computational Model of Kinesin-Microtubule Gliding Assays on Lipid Bilayers
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Soft, Organic, Carrier-Selective Contacts at Inorganic Semiconductor Interfaces Enabled by Low-Defect Covalent Bonding
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Machine Learning for Reliable Communication and Improved Tracking of Dynamical Systems
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Studies on the Emergence of Order in Out-of-equilibrium Systems
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Towards Automated Analysis of Microarchitectural Attacks using Machine Learning
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