activity
20152021
most citedAnalog Signal Compression and Multiplexing Techniques for Healthcare Internet of Things

16 citations · 166 across the 32 of their papers we have counts for

collaborators

35 papers

cs.CV2021

Source Feature Compression for Object Classification in Vision-Based Underwater Robotics

Xueyuan Zhao, Mehdi Rahmati, Dario Pompili

New efficient source feature compression solutions are proposed based on a two-stage Walsh-Hadamard Transform (WHT) for Convolutional Neural Network (CNN)-based object classificati…

eess.SP2020★ 2 cited

Configuration Learning in Underwater Optical Links

Xueyuan Zhao, Zhuoran Qi, Dario Pompili

A new research problem named configuration learning is described in this work. A novel algorithm is proposed to address the configuration learning problem. The configuration learni…

eess.SP2020★ 1 cited

On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification

Vidyasagar Sadhu, Saman Zonouz, Dario Pompili

With the increase in use of Unmanned Aerial Vehicles (UAVs)/drones, it is important to detect and identify causes of failure in real time for proper recovery from a potential crash…

eess.SP2020

Energy-efficient Analog Sensing for Large-scale and High-density Persistent Wireless Monitoring

Vidyasagar Sadhu, Xueyuan Zhao, Dario Pompili

The research challenge of current Wireless Sensor Networks (WSNs) is to design energy-efficient, low-cost, high-accuracy, self-healing, and scalable systems for applications such a…

eess.SP2020

Signal Recovery Performance Analysis in Wireless Sensing with Rectangular-Type Analog Joint Source-Channel Coding

Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili

The signal recovery performance of the rectangular-type Analog Joint Source-Channel Coding (AJSCC) is analyzed in this work for high and medium/low Signal-to-Noise Ratio (SNR) scen…

q-bio.GN2019★ 1 cited

Transform-Domain Classification of Human Cells based on DNA Methylation Datasets

Xueyuan Zhao, Dario Pompili

A novel method to classify human cells is presented in this work based on the transform-domain method on DNA methylation data. DNA methylation profile variations are observed in hu…