Physically unclonable functions (PUFs) are increasingly adopted for low-...
Learning an explainable classifier often results in low accuracy model o...
Online controlled experimentation is widely adopted for evaluating new
f...
A compact, accurate, and bitwidth-programmable in-memory computing (IMC)...
The problem of securely outsourcing computation to cloud servers has
att...
Object detection has been widely used in the field of Internet, and deep...
Incorporating deep neural networks in image compressive sensing (CS) rec...
This paper introduces a model based upon games on an evolving network, a...
We have proposed a model based upon flocking on a complex network, and t...
Enormous successes have been made by quantum algorithms during the last
...