16 citations · 66 across the 9 of their papers we have counts for
11 papers
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…
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…
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…
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…
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…
Low-power All-analog Circuit for Rectangular-type Analog Joint Source Channel Coding
Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili
A low-complexity all-analog circuit is proposed to perform efficiently Analog Joint Source Channel Coding (AJSCC), which can compress two or more sensor signals into one with contr…