Computing & Information Technology
Hyper-Precise Positioning and Communications for Radio Networks: Leveraging Time-of-Flight Estimations
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A Scalable Parameterized OpenCL-Defined Accelerator Architecture for Efficient Convolutional Neural Network (CNN) Inference on FPGAs
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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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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 for Quantification of Human Sensory Cortical Areas
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Detection and Classification of Faults in Photovoltaic Arrays Using a Graph-Based Classifier
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Rapid Digital Antimicrobial Susceptibility Testing
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Consensus-Based Distributed Estimation of Network Spectral Radius
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Semantic Genesis
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