Computing & Information Technology
Automated Voter Precinct Designer
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A Scalable Parameterized OpenCL-Defined Accelerator Architecture for Efficient Convolutional Neural Network (CNN) Inference on FPGAs
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Generic Compression Ratio Adapter for End-to-End Data-Driven Image Compressive Sensing Reconstruction (EDCSR) Frameworks
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Data Driven Framework for Actionable Feedback in Insulin Management for Type 1 Diabetic Patients on Artificial Pancreas
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Text Representation Learning for Preserving Textual Privacy and Utility of User Data
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Framework for Extreme-Scale Heterogeneous High-Performance Computing (HPC)
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Pruning Binary Neural Networks (BNNs) for Model Compression and Inference Acceleration
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A Mutually Inhibitory Network with Positive Autoregulation and Communications (MINPAC)
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System to Design Self-Assembled Nanostructures with Patchy Particles
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System for Quantification of Human Sensory Cortical Areas
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