Computing & Information Technology

Hyper-Precise Positioning and Communications for Radio Networks: Leveraging Time-of-Flight Estimations

A Scalable Parameterized OpenCL-Defined Accelerator Architecture for Efficient Convolutional Neural Network (CNN) Inference on FPGAs

Data Driven Framework for Actionable Feedback in Insulin Management for Type 1 Diabetic Patients on Artificial Pancreas

Pruning Binary Neural Networks (BNNs) for Model Compression and Inference Acceleration

A Mutually Inhibitory Network with Positive Autoregulation and Communications (MINPAC)

System for Quantification of Human Sensory Cortical Areas

Detection and Classification of Faults in Photovoltaic Arrays Using a Graph-Based Classifier

Rapid Digital Antimicrobial Susceptibility Testing

Consensus-Based Distributed Estimation of Network Spectral Radius

Semantic Genesis